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<h1>FIXED Function</h1>
<p>The <b>FIXED</b> function is one of the <a href="../UsageInstructions/InsertFunction.htm#textdata" onclick="onhyperlinkclick(this)">text and data functions</a>. Is used to return the text representation of a number rounded to a specified number of decimal places.</p>
<h3>Syntax</h3>
<p><b><em>FIXED(number [,[num-decimal] [,suppress-commas-flag])</em></b></p>
<p><b><em>FIXED(number, [decimals], [no_commas])</em></b></p>
<p>The <b>FIXED</b> function has the following arguments:</p>
<p><b><em>number</em></b> is a number to round.</p>
<p><b><em>num-decimal</em></b> is a number of decimal places to display. It is an optional argument, if it's omitted, the function will assume it to be 2.</p>
<p><b><em>suppress-commas-flag</em></b> is a logical value. If it is set to TRUE, the function will return the result without commas. If it is FALSE or omitted, the result will be displayed with commas.</p>
<h3>Notes</h3>
<table style="width: 40%">
<tr>
<th style="background-color: #f4f4f4"><b>Argument</b></th>
<th style="background-color: #f4f4f4"><b>Description</b></th>
</tr>
<tr>
<td><b><em>number</em></b></td>
<td>A number to round.</td>
</tr>
<tr>
<td><b><em>decimals</em></b></td>
<td>A number of decimal places to display. It is an optional argument, if it's omitted, the function will assume it to be 2.</td>
</tr>
<tr>
<td><b><em>no_commas</em></b></td>
<td>A logical value. If it is set to TRUE, the function will return the result without commas. If it is FALSE or omitted, the result will be displayed with commas.</td>
</tr>
</table>
<h3>Notes</h3>
<p><a href="../UsageInstructions/InsertFunction.htm#applyfunction" onclick="onhyperlinkclick(this)">How to apply</a> the <b>FIXED</b> function.</p>
<h3>Examples</h3>

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<h1>FLOOR.MATH Function</h1>
<p>The <b>FLOOR.MATH</b> function is one of the <a href="../UsageInstructions/InsertFunction.htm#mathtrigonometry" onclick="onhyperlinkclick(this)">math and trigonometry functions</a>. It is used to round a number down to the nearest integer or to the nearest multiple of significance.</p>
<h3>Syntax</h3>
<p><b><em>FLOOR.MATH(x [, [significance] [, [mode]])</em></b></p>
<p><b><em>FLOOR.MATH(number, [significance], [mode])</em></b></p>
<p>The <b>FLOOR.MATH</b> function has the following arguments:</p>
<p><b><em>x</em></b> is the number you wish to round down.</p>
<p><b><em>significance</em></b> is the multiple of significance you wish to round down to. It is an optional parameter. If it is omitted, the default value of 1 is used.</p>
<p><b><em>mode</em></b> specifies if negative numbers are rounded towards or away from zero. It is an optional parameter that does not affect positive numbers. If it is omitted or set to 0, negative numbers are rounded away from zero. If any other numeric value is specified, negative numbers are rounded towards zero.</p>
<h3>Notes</h3>
<table style="width: 40%">
<tr>
<th style="background-color: #f4f4f4"><b>Argument</b></th>
<th style="background-color: #f4f4f4"><b>Description</b></th>
</tr>
<tr>
<td><b><em>number</em></b></td>
<td>A number you wish to round down.</td>
</tr>
<tr>
<td><b><em>significance</em></b></td>
<td>A multiple of significance you wish to round down to. It is an optional argument. If it is omitted, the default value of 1 is used.</td>
</tr>
<tr>
<td><b><em>mode</em></b></td>
<td>Specifies if negative numbers are rounded towards or away from zero. It is an optional parameter that does not affect positive numbers. If it is omitted or set to 0, negative numbers are rounded away from zero. If any other numeric value is specified, negative numbers are rounded towards zero.</td>
</tr>
</table>
<h3>Notes</h3>
<p><a href="../UsageInstructions/InsertFunction.htm#applyfunction" onclick="onhyperlinkclick(this)">How to apply</a> the <b>FLOOR.MATH</b> function.</p>
<h3>Examples</h3>

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<h1>FLOOR.PRECISE Function</h1>
<p>The <b>FLOOR.PRECISE</b> function is one of the <a href="../UsageInstructions/InsertFunction.htm#mathtrigonometry" onclick="onhyperlinkclick(this)">math and trigonometry functions</a>. It is used to return a number that is rounded down to the nearest integer or to the nearest multiple of significance. The number is always rounded down regardless of its sing.</p>
<h3>Syntax</h3>
<p><b><em>FLOOR.PRECISE(x [, significance])</em></b></p>
<p><b><em>FLOOR.PRECISE(number, [significance])</em></b></p>
<p>The <b>FLOOR.PRECISE</b> function has the following arguments:</p>
<p><b><em>x</em></b> is the number you wish to round down.</p>
<p><b><em>significance</em></b> is the multiple of significance you wish to round down to. It is an optional parameter. If it is omitted, the default value of 1 is used. If it is set to zero, the function returns 0.</p>
<h3>Notes</h3>
<table style="width: 40%">
<tr>
<th style="background-color: #f4f4f4"><b>Argument</b></th>
<th style="background-color: #f4f4f4"><b>Description</b></th>
</tr>
<tr>
<td><b><em>number</em></b></td>
<td>A number you wish to round down.</td>
</tr>
<tr>
<td><b><em>significance</em></b></td>
<td>A multiple of significance you wish to round down to. It is an optional argument. If it is omitted, the default value of 1 is used. If it is set to zero, the function returns 0.</td>
</tr>
</table>
<h3>Notes</h3>
<p><a href="../UsageInstructions/InsertFunction.htm#applyfunction" onclick="onhyperlinkclick(this)">How to apply</a> the <b>FLOOR.PRECISE</b> function.</p>
<h3>Examples</h3>

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<h1>FLOOR Function</h1>
<p>The <b>FLOOR</b> function is one of the <a href="../UsageInstructions/InsertFunction.htm#mathtrigonometry" onclick="onhyperlinkclick(this)">math and trigonometry functions</a>. It is used to round the number down to the nearest multiple of significance.</p>
<h3>Syntax</h3>
<p><b><em>FLOOR(x, significance)</em></b></p>
<p><b><em>FLOOR(number, significance)</em></b></p>
<p>The <b>FLOOR</b> function has the following arguments:</p>
<p><b><em>x</em></b> is a number you wish to round down.</p>
<p><b><em>significance</em></b> is a multiple of significance you wish to round down to. </p>
<h3>Notes</h3>
<p class="note"><b>Note</b>: if the values of <b><em>x</em></b> and <b><em>significance</em></b> have different signs, the function returns the <b>#NUM!</b> error.</p>
<table style="width: 40%">
<tr>
<th style="background-color: #f4f4f4"><b>Argument</b></th>
<th style="background-color: #f4f4f4"><b>Description</b></th>
</tr>
<tr>
<td><b><em>number</em></b></td>
<td>A number you wish to round down.</td>
</tr>
<tr>
<td><b><em>significance</em></b></td>
<td>A multiple of significance you wish to round down to.</td>
</tr>
</table>
<h3>Notes</h3>
<p>If the values of <b><em>x</em></b> and <b><em>significance</em></b> have different signs, the function returns the <b>#NUM!</b> error.</p>
<p><a href="../UsageInstructions/InsertFunction.htm#applyfunction" onclick="onhyperlinkclick(this)">How to apply</a> the <b>FLOOR</b> function.</p>
<h3>Examples</h3>

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<h3>Syntax</h3>
<p><b><em>FORECAST.ETS.CONFINT(target_date, values, timeline, [confidence_level], [seasonality], [data_completion], [aggregation])</em></b></p>
<p>The <b>FORECAST.ETS.CONFINT</b> function has the following arguments:</p>
<p><b><em>target_date</em></b> is a date for which you want to predict a new value. Must be after the last date in the <b><em>timeline</em></b>.</p>
<p><b><em>values</em></b> is a range of the historical values for which you want to predict a new point.</p>
<p><b><em>timeline</em></b> is a range of date/time values that correspond to the historical values. The <b><em>timeline</em></b> range must be of the same size as the <b><em>values</em></b> range. Date/time values must have a constant step between them (although up to 30% of missing values can be processed as specified by the <b><em>data_completion</em></b> argument and duplicate values can be aggregated as specified by the <b><em>aggregation</em></b> argument).</p>
<p><b><em>confidence_level</em></b> is a numeric value between 0 and 1 (exclusive) that specifies the confidence level for the calculated confidence interval. It is an optional argument. If it is omitted, the default value of 0.95 is used.</p>
<p><b><em>seasonality</em></b> is a numeric value that specifies which method should be used to detect the seasonality. It is an optional argument. The possible values are listed in the table below.</p>
<table style="width: 40%">
<tr>
<th style="background-color: #f4f4f4"><b>Argument</b></th>
<th style="background-color: #f4f4f4"><b>Description</b></th>
</tr>
<tr>
<td><b><em>target_date</em></b></td>
<td>A date for which you want to predict a new value. Must be after the last date in the <b><em>timeline</em></b>.</td>
</tr>
<tr>
<td><b><em>values</em></b></td>
<td>A range of the historical values for which you want to predict a new point.</td>
</tr>
<tr>
<td><b><em>timeline</em></b></td>
<td>A range of date/time values that correspond to the historical values. The <b><em>timeline</em></b> range must be of the same size as the <b><em>values</em></b> range. Date/time values must have a constant step between them (although up to 30% of missing values can be processed as specified by the <b><em>data_completion</em></b> argument and duplicate values can be aggregated as specified by the <b><em>aggregation</em></b> argument).</td>
</tr>
<tr>
<td><b><em>confidence_level</em></b></td>
<td>A numeric value between 0 and 1 (exclusive) that specifies the confidence level for the calculated confidence interval. It is an optional argument. If it is omitted, the default value of 0.95 is used.</td>
</tr>
<tr>
<td><b><em>seasonality</em></b></td>
<td>A numeric value that specifies which method should be used to detect the seasonality. It is an optional argument. The possible values are listed in the table below.</td>
</tr>
<tr>
<td><b><em>data_completion</em></b></td>
<td>A numeric value that specifies how to process the missing data points in the <b><em>timeline</em></b> data range. It is an optional argument. The possible values are listed in the table below.</td>
</tr>
<tr>
<td><b><em>aggregation</em></b></td>
<td>A numeric value that specifies which function should be used to aggregate identical time values in the <b><em>timeline</em></b> data range. It is an optional argument. The possible values are listed in the table belows.</td>
</tr>
</table>
<p>The <b><em>seasonality</em></b> argument can be one of the following:</p>
<table style="width: 40%">
<tr>
<td><b>Numeric value</b></td>
<td><b>Behavior</b></td>
<th style="background-color: #f4f4f4"><b>Numeric value</b></th>
<th style="background-color: #f4f4f4"><b>Behavior</b></th>
</tr>
<tr>
<td>1 or omitted</td>
@ -42,11 +72,11 @@
<td>The specified number is used for the length of the seasonal pattern.</td>
</tr>
</table>
<p><b><em>data_completion</em></b> is a numeric value that specifies how to process the missing data points in the <b><em>timeline</em></b> data range. It is an optional argument. The possible values are listed in the table below.</p>
<p>The <b><em>data_completion</em></b> argument can be one of the following:</p>
<table style="width: 40%">
<tr>
<td><b>Numeric value</b></td>
<td><b>Behavior</b></td>
<th style="background-color: #f4f4f4"><b>Numeric value</b></th>
<th style="background-color: #f4f4f4"><b>Behavior</b></th>
</tr>
<tr>
<td>1 or omitted</td>
@ -57,11 +87,11 @@
<td>Missing points are treated as zero values.</td>
</tr>
</table>
<p><b><em>aggregation</em></b> is a numeric value that specifies which function should be used to aggregate identical time values in the <b><em>timeline</em></b> data range. It is an optional argument. The possible values are listed in the table below.</p>
<p>The <b><em>aggregation</em></b> argument can be one of the following:</p>
<table style="width: 40%">
<tr>
<td><b>Numeric value</b></td>
<td><b>Function</b></td>
<th style="background-color: #f4f4f4"><b>Numeric value</b></th>
<th style="background-color: #f4f4f4"><b>Function</b></th>
</tr>
<tr>
<td>1 or omitted</td>

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<h3>Syntax</h3>
<p><b><em>FORECAST.ETS.SEASONALITY(values, timeline, [data_completion], [aggregation])</em></b></p>
<p>The <b>FORECAST.ETS.SEASONALITY</b> function has the following arguments:</p>
<p><b><em>values</em></b> is a range of the historical values for which you want to predict a new point.</p>
<p><b><em>timeline</em></b> is a range of date/time values that correspond to the historical values. The <b><em>timeline</em></b> range must be of the same size as the <b><em>values</em></b> range. Date/time values must have a constant step between them (although up to 30% of missing values can be processed as specified by the <b><em>data_completion</em></b> argument and duplicate values can be aggregated as specified by the <b><em>aggregation</em></b> argument).</p>
<p><b><em>data_completion</em></b> is a numeric value that specifies how to process the missing data points in the <b><em>timeline</em></b> data range. It is an optional argument. The possible values are listed in the table below.</p>
<table style="width: 40%">
<tr>
<th style="background-color: #f4f4f4"><b>Argument</b></th>
<th style="background-color: #f4f4f4"><b>Description</b></th>
</tr>
<tr>
<td><b><em>values</em></b></td>
<td>A range of the historical values for which you want to predict a new point.</td>
</tr>
<tr>
<td><b><em>timeline</em></b></td>
<td>A range of date/time values that correspond to the historical values. The <b><em>timeline</em></b> range must be of the same size as the <b><em>values</em></b> range. Date/time values must have a constant step between them (although up to 30% of missing values can be processed as specified by the <b><em>data_completion</em></b> argument and duplicate values can be aggregated as specified by the <b><em>aggregation</em></b> argument).</td>
</tr>
<tr>
<td><b><em>data_completion</em></b></td>
<td>A numeric value that specifies how to process the missing data points in the <b><em>timeline</em></b> data range. It is an optional argument. The possible values are listed in the table below.</td>
</tr>
<tr>
<td><b><em>aggregation</em></b></td>
<td>A numeric value that specifies which function should be used to aggregate identical time values in the <b><em>timeline</em></b> data range. It is an optional argument. The possible values are listed in the table belows.</td>
</tr>
</table>
<p>The <b><em>data_completion</em></b> argument can be one of the following:</p>
<table style="width: 40%">
<tr>
<td><b>Numeric value</b></td>
<td><b>Behavior</b></td>
<th style="background-color: #f4f4f4"><b>Numeric value</b></th>
<th style="background-color: #f4f4f4"><b>Behavior</b></th>
</tr>
<tr>
<td>1 or omitted</td>
@ -36,11 +56,11 @@
<td>Missing points are treated as zero values.</td>
</tr>
</table>
<p><b><em>aggregation</em></b> is a numeric value that specifies which function should be used to aggregate identical time values in the <b><em>timeline</em></b> data range. It is an optional argument. The possible values are listed in the table below.</p>
<p>The <b><em>aggregation</em></b> argument can be one of the following:</p>
<table style="width: 40%">
<tr>
<td><b>Numeric value</b></td>
<td><b>Function</b></td>
<th style="background-color: #f4f4f4"><b>Numeric value</b></th>
<th style="background-color: #f4f4f4"><b>Function</b></th>
</tr>
<tr>
<td>1 or omitted</td>

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<h3>Syntax</h3>
<p><b><em>FORECAST.ETS.STAT(values, timeline, statistic_type, [seasonality], [data_completion], [aggregation])</em></b></p>
<p>The <b>FORECAST.ETS.STAT</b> function has the following arguments:</p>
<p><b><em>values</em></b> is a range of the historical values for which you want to predict a new point.</p>
<p><b><em>timeline</em></b> is a range of date/time values that correspond to the historical values. The <b><em>timeline</em></b> range must be of the same size as the <b><em>values</em></b> range. Date/time values must have a constant step between them (although up to 30% of missing values can be processed as specified by the <b><em>data_completion</em></b> argument and duplicate values can be aggregated as specified by the <b><em>aggregation</em></b> argument).</p>
<p><b><em>statistic_type</em></b> is a numeric value between 1 and 8 that specifies which statistic will be returned. The possible values are listed in the table below.</p>
<table style="width: 40%">
<tr>
<th style="background-color: #f4f4f4"><b>Argument</b></th>
<th style="background-color: #f4f4f4"><b>Description</b></th>
</tr>
<tr>
<td><b><em>values</em></b></td>
<td>A range of the historical values for which you want to predict a new point.</td>
</tr>
<tr>
<td><b><em>timeline</em></b></td>
<td>A range of date/time values that correspond to the historical values. The <b><em>timeline</em></b> range must be of the same size as the <b><em>values</em></b> range. Date/time values must have a constant step between them (although up to 30% of missing values can be processed as specified by the <b><em>data_completion</em></b> argument and duplicate values can be aggregated as specified by the <b><em>aggregation</em></b> argument).</td>
</tr>
<tr>
<td><b><em>statistic_type</em></b></td>
<td>A numeric value between 1 and 8 that specifies which statistic will be returned. The possible values are listed in the table below.</td>
</tr>
<tr>
<td><b><em>seasonality</em></b></td>
<td>A numeric value that specifies which method should be used to detect the seasonality. It is an optional argument. The possible values are listed in the table below.</td>
</tr>
<tr>
<td><b><em>data_completion</em></b></td>
<td>A numeric value that specifies how to process the missing data points in the <b><em>timeline</em></b> data range. It is an optional argument. The possible values are listed in the table below.</td>
</tr>
<tr>
<td><b><em>aggregation</em></b></td>
<td>A numeric value that specifies which function should be used to aggregate identical time values in the <b><em>timeline</em></b> data range. It is an optional argument. The possible values are listed in the table belows.</td>
</tr>
</table>
<p>The <b><em>statistic_type</em></b> argument can be one of the following:</p>
<table style="width: 40%">
<tr>
<td><b>Numeric value</b></td>
<td><b>Statistic</b></td>
<th style="background-color: #f4f4f4"><b>Numeric value</b></th>
<th style="background-color: #f4f4f4"><b>Statistic</b></th>
</tr>
<tr>
<td>1</td>
@ -60,11 +88,11 @@
<td>Step size detected in the timeline.</td>
</tr>
</table>
<p><b><em>seasonality</em></b> is a numeric value that specifies which method should be used to detect the seasonality. It is an optional argument. The possible values are listed in the table below.</p>
<p>The <b><em>seasonality</em></b> argument can be one of the following:</p>
<table style="width: 40%">
<tr>
<td><b>Numeric value</b></td>
<td><b>Behavior</b></td>
<th style="background-color: #f4f4f4"><b>Numeric value</b></th>
<th style="background-color: #f4f4f4"><b>Behavior</b></th>
</tr>
<tr>
<td>1 or omitted</td>
@ -79,11 +107,11 @@
<td>The specified number is used for the length of the seasonal pattern.</td>
</tr>
</table>
<p><b><em>data_completion</em></b> is a numeric value that specifies how to process the missing data points in the <b><em>timeline</em></b> data range. It is an optional argument. The possible values are listed in the table below.</p>
<p>The <b><em>data_completion</em></b> argument can be one of the following:</p>
<table style="width: 40%">
<tr>
<td><b>Numeric value</b></td>
<td><b>Behavior</b></td>
<th style="background-color: #f4f4f4"><b>Numeric value</b></th>
<th style="background-color: #f4f4f4"><b>Behavior</b></th>
</tr>
<tr>
<td>1 or omitted</td>
@ -94,11 +122,11 @@
<td>Missing points are treated as zero values.</td>
</tr>
</table>
<p><b><em>aggregation</em></b> is a numeric value that specifies which function should be used to aggregate identical time values in the <b><em>timeline</em></b> data range. It is an optional argument. The possible values are listed in the table below.</p>
<p>The <b><em>aggregation</em></b> argument can be one of the following:</p>
<table style="width: 40%">
<tr>
<td><b>Numeric value</b></td>
<td><b>Function</b></td>
<th style="background-color: #f4f4f4"><b>Numeric value</b></th>
<th style="background-color: #f4f4f4"><b>Function</b></th>
</tr>
<tr>
<td>1 or omitted</td>

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@ -19,14 +19,41 @@
<h3>Syntax</h3>
<p><b><em>FORECAST.ETS(target_date, values, timeline, [seasonality], [data_completion], [aggregation])</em></b></p>
<p>The <b>FORECAST.ETS</b> function has the following arguments:</p>
<p><b><em>target_date</em></b> is a date for which you want to predict a new value. Must be after the last date in the <b><em>timeline</em></b>.</p>
<p><b><em>values</em></b> is a range of the historical values for which you want to predict a new point.</p>
<p><b><em>timeline</em></b> is a range of date/time values that correspond to the historical values. The <b><em>timeline</em></b> range must be of the same size as the <b><em>values</em></b> range. Date/time values must have a constant step between them (although up to 30% of missing values can be processed as specified by the <b><em>data_completion</em></b> argument and duplicate values can be aggregated as specified by the <b><em>aggregation</em></b> argument).</p>
<p><b><em>seasonality</em></b> is a numeric value that specifies which method should be used to detect the seasonality. It is an optional argument. The possible values are listed in the table below.</p>
<table style="width: 40%">
<tr>
<th style="background-color: #f4f4f4"><b>Argument</b></th>
<th style="background-color: #f4f4f4"><b>Description</b></th>
</tr>
<tr>
<td><b><em>target_date</em></b></td>
<td>A date for which you want to predict a new value. Must be after the last date in the <b><em>timeline</em></b>.</td>
</tr>
<tr>
<td><b><em>values</em></b></td>
<td>A range of the historical values for which you want to predict a new point.</td>
</tr>
<tr>
<td><b><em>timeline</em></b></td>
<td>A range of date/time values that correspond to the historical values. The <b><em>timeline</em></b> range must be of the same size as the <b><em>values</em></b> range. Date/time values must have a constant step between them (although up to 30% of missing values can be processed as specified by the <b><em>data_completion</em></b> argument and duplicate values can be aggregated as specified by the <b><em>aggregation</em></b> argument).</td>
</tr>
<tr>
<td><b><em>seasonality</em></b></td>
<td>A numeric value that specifies which method should be used to detect the seasonality. It is an optional argument. The possible values are listed in the table below.</td>
</tr>
<tr>
<td><b><em>data_completion</em></b></td>
<td>A numeric value that specifies how to process the missing data points in the <b><em>timeline</em></b> data range. It is an optional argument. The possible values are listed in the table below.</td>
</tr>
<tr>
<td><b><em>aggregation</em></b></td>
<td>A numeric value that specifies which function should be used to aggregate identical time values in the <b><em>timeline</em></b> data range. It is an optional argument. The possible values are listed in the table belows.</td>
</tr>
</table>
<p>The <b><em>seasonality</em></b> argument can be one of the following:</p>
<table style="width: 40%">
<tr>
<td><b>Numeric value</b></td>
<td><b>Behavior</b></td>
<th style="background-color: #f4f4f4"><b>Numeric value</b></th>
<th style="background-color: #f4f4f4"><b>Behavior</b></th>
</tr>
<tr>
<td>1 or omitted</td>
@ -41,11 +68,11 @@
<td>The specified number is used for the length of the seasonal pattern.</td>
</tr>
</table>
<p><b><em>data_completion</em></b> is a numeric value that specifies how to process the missing data points in the <b><em>timeline</em></b> data range. It is an optional argument. The possible values are listed in the table below.</p>
<p>The <b><em>data_completion</em></b> argument can be one of the following:</p>
<table style="width: 40%">
<tr>
<td><b>Numeric value</b></td>
<td><b>Behavior</b></td>
<th style="background-color: #f4f4f4"><b>Numeric value</b></th>
<th style="background-color: #f4f4f4"><b>Behavior</b></th>
</tr>
<tr>
<td>1 or omitted</td>
@ -56,11 +83,11 @@
<td>Missing points are treated as zero values.</td>
</tr>
</table>
<p><b><em>aggregation</em></b> is a numeric value that specifies which function should be used to aggregate identical time values in the <b><em>timeline</em></b> data range. It is an optional argument. The possible values are listed in the table below.</p>
<p>The <b><em>aggregation</em></b> argument can be one of the following:</p>
<table style="width: 40%">
<tr>
<td><b>Numeric value</b></td>
<td><b>Function</b></td>
<th style="background-color: #f4f4f4"><b>Numeric value</b></th>
<th style="background-color: #f4f4f4"><b>Function</b></th>
</tr>
<tr>
<td>1 or omitted</td>

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@ -19,10 +19,26 @@
<h3>Syntax</h3>
<p><b><em>FORECAST.LINEAR(x, known_y's, known_x's)</em></b></p>
<p>The <b>FORECAST.LINEAR</b> function has the following arguments:</p>
<p><b><em>x</em></b> is an x-value for which you want to predict a new y-value, a numeric value entered manually or included into the cell you make reference to.</p>
<p><b><em>known_y's</em></b> is an array of known y-values.</p>
<p><b><em>known_x's</em></b> is an array of known x-values.</p>
<h3>Notes</h3>
<table style="width: 40%">
<tr>
<th style="background-color: #f4f4f4"><b>Argument</b></th>
<th style="background-color: #f4f4f4"><b>Description</b></th>
</tr>
<tr>
<td><b><em>x</em></b></td>
<td>An x-value used to predict the y-value.</td>
</tr>
<tr>
<td><b><em>known_y's</em></b></td>
<td>An array of known y-values.</td>
</tr>
<tr>
<td><b><em>known_x's</em></b></td>
<td>An array of known x-values.</td>
</tr>
</table>
<h3>Notes</h3>
<p><a href="../UsageInstructions/InsertFunction.htm#applyfunction" onclick="onhyperlinkclick(this)">How to apply</a> the <b>FORECAST.LINEAR</b> function.</p>
<h3>Examples</h3>

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@ -17,11 +17,28 @@
<h1>FORECAST Function</h1>
<p>The <b>FORECAST</b> function is one of the <a href="../UsageInstructions/InsertFunction.htm#statistical" onclick="onhyperlinkclick(this)">statistical functions</a>. It is used to predict a future value based on existing values provided.</p>
<h3>Syntax</h3>
<p><b><em>FORECAST(x, array-1, array-2)</em></b></p>
<p><b><em>FORECAST(x, known_y's, known_x's)</em></b></p>
<p>The <b>FORECAST</b> function has the following arguments:</p>
<p><b><em>x</em></b> is an x-value used to predict the y-value, a numeric value entered manually or included into the cell you make reference to.</p>
<p><b><em>array-1(2)</em></b> is the selected range of cells with the same number of elements.</p>
<h3>Notes</h3>
<table style="width: 40%">
<tr>
<th style="background-color: #f4f4f4"><b>Argument</b></th>
<th style="background-color: #f4f4f4"><b>Description</b></th>
</tr>
<tr>
<td><b><em>x</em></b></td>
<td>An x-value used to predict the y-value.</td>
</tr>
<tr>
<td><b><em>known_y's</em></b></td>
<td>The dependent data range.</td>
</tr>
<tr>
<td><b><em>known_x's</em></b></td>
<td>The independent data range with the same number of elements as <b><em>known_y's</em></b> contains.</td>
</tr>
</table>
<h3>Notes</h3>
<p><a href="../UsageInstructions/InsertFunction.htm#applyfunction" onclick="onhyperlinkclick(this)">How to apply</a> the <b>FORECAST</b> function.</p>
<h3>Examples</h3>

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@ -18,8 +18,18 @@
<p>The <b>FORMULATEXT</b> function is one of the <a href="../UsageInstructions/InsertFunction.htm#lookupreference" onclick="onhyperlinkclick(this)">lookup and reference functions</a>. It is used to return a formula as a string (i.e. the text string that is displayed in the formula bar if you select the cell that contains the formula).</p>
<h3>Syntax</h3>
<p><b><em>FORMULATEXT(reference)</em></b></p>
<p>The <b>FORMULATEXT</b> function has the following argument:</p><p><b><em>reference</em></b> is a reference to a single cell or a range of cells.</p>
<h3>Notes</h3>
<p>The <b>FORMULATEXT</b> function has the following argument:</p>
<table style="width: 40%">
<tr>
<th style="background-color: #f4f4f4"><b>Argument</b></th>
<th style="background-color: #f4f4f4"><b>Description</b></th>
</tr>
<tr>
<td><b><em>reference</em></b></td>
<td>A reference to a single cell or a range of cells.</td>
</tr>
</table>
<h3>Notes</h3>
<p>If the referenced cell range contains more than one formula, the <b>FORMULATEXT</b> function returns the value from the upper left cell of this range. If the referenced cell does not contain a formula, the <b>FORMULATEXT</b> function returns the <b>N/A</b> error value.</p>
<p><a href="../UsageInstructions/InsertFunction.htm#applyfunction" onclick="onhyperlinkclick(this)">How to apply</a> the <b>FORMULATEXT</b> function.</p>

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@ -17,11 +17,24 @@
<h1>FREQUENCY Function</h1>
<p>The <b>FREQUENCY</b> function is one of the <a href="../UsageInstructions/InsertFunction.htm#statistical" onclick="onhyperlinkclick(this)">statistical functions</a>. It is used to сalculate how often values occur within the selected range of cells and display the first value of the returned vertical array of numbers.</p>
<h3>Syntax</h3>
<p><b><em>FREQUENCY(data-array, bins-array)</em></b></p>
<p><b><em>FREQUENCY(data_array, bins_array)</em></b></p>
<p>The <b>FREQUENCY</b> function has the following arguments:</p>
<p><b><em>data-array</em></b> is the selected range of cells you want to count the frequencies for,</p>
<p><b><em>bins-array</em></b> is the selected range of cells containing intervals into which you want to group the values in <b><em>data-array</em></b>.</p>
<h3>Notes</h3>
<table style="width: 40%">
<tr>
<th style="background-color: #f4f4f4"><b>Argument</b></th>
<th style="background-color: #f4f4f4"><b>Description</b></th>
</tr>
<tr>
<td><b><em>data_array</em></b></td>
<td>The selected range of cells you want to count the frequencies for.</td>
</tr>
<tr>
<td><b><em>bins_array</em></b></td>
<td>The selected range of cells containing intervals into which you want to group the values in <b><em>data_array</em></b>.</td>
</tr>
</table>
<h3>Notes</h3>
<p><a href="../UsageInstructions/InsertFunction.htm#applyfunction" onclick="onhyperlinkclick(this)">How to apply</a> the <b>FREQUENCY</b> function.</p>
<h3>Examples</h3>

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@ -19,10 +19,23 @@
<h3>Syntax</h3>
<p><b><em>FVSCHEDULE(principal, schedule)</em></b></p>
<p>The <b>FVSCHEDULE</b> function has the following arguments:</p>
<p><b><em>principal</em></b> is the current value of an investment.</p>
<p><b><em>schedule</em></b> is an array or a range of interest rates.</p>
<h3>Notes</h3>
<p class="note"><b>Note:</b> schedule values can be numbers or empty cells (they are interpreted as 0).</p>
<table style="width: 40%">
<tr>
<th style="background-color: #f4f4f4"><b>Argument</b></th>
<th style="background-color: #f4f4f4"><b>Description</b></th>
</tr>
<tr>
<td><b><em>principal</em></b></td>
<td>The current value of an investment.</td>
</tr>
<tr>
<td><b><em>schedule</em></b></td>
<td>An array or a range of interest rates.</td>
</tr>
</table>
<h3>Notes</h3>
<p>Schedule values can be numbers or empty cells (they are interpreted as 0).</p>
<p><a href="../UsageInstructions/InsertFunction.htm#applyfunction" onclick="onhyperlinkclick(this)">How to apply</a> the <b>FVSCHEDULE</b> function.</p>
<h3>Examples</h3>

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@ -19,11 +19,30 @@
<h3>Syntax</h3>
<p><b><em>GAMMA.DIST(x, alpha, beta, cumulative)</em></b></p>
<p>The <b>GAMMA.DIST</b> function has the following arguments:</p>
<p><b><em>x</em></b> is the value at which the function should be calculated. A numeric value greater than 0.</p>
<p><b><em>alpha</em></b> is the first parameter of the distribution, a numeric value greater than 0.</p>
<p><b><em>beta</em></b> is the second parameter of the distribution, a numeric value greater than 0. If <b><em>beta</em></b> is 1, the function returns the standard gamma distribution.</p>
<p><b><em>cumulative</em></b> is a logical value (TRUE or FALSE) that determines the function form. If it is TRUE, the function returns the cumulative distribution function. If it is FALSE, the function returns the probability density function.</p>
<h3>Notes</h3>
<table style="width: 40%">
<tr>
<th style="background-color: #f4f4f4"><b>Argument</b></th>
<th style="background-color: #f4f4f4"><b>Description</b></th>
</tr>
<tr>
<td><b><em>x</em></b></td>
<td>The value at which the function should be calculated. A numeric value greater than 0.</td>
</tr>
<tr>
<td><b><em>alpha</em></b></td>
<td>The first parameter of the distribution, a numeric value greater than 0.</td>
</tr>
<tr>
<td><b><em>beta</em></b></td>
<td>The second parameter of the distribution, a numeric value greater than 0. If <b><em>beta</em></b> is 1, the function returns the standard gamma distribution.</td>
</tr>
<tr>
<td><b><em>cumulative</em></b></td>
<td>A logical value (TRUE or FALSE) that determines the function form. If it is TRUE, the function returns the cumulative distribution function. If it is FALSE, the function returns the probability density function.</td>
</tr>
</table>
<h3>Notes</h3>
<p><a href="../UsageInstructions/InsertFunction.htm#applyfunction" onclick="onhyperlinkclick(this)">How to apply</a> the <b>GAMMA.DIST</b> function.</p>
<h3>Examples</h3>

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@ -19,10 +19,26 @@
<h3>Syntax</h3>
<p><b><em>GAMMA.INV(probability, alpha, beta)</em></b></p>
<p>The <b>GAMMA.INV</b> function has the following arguments:</p>
<p><b><em>probability</em></b> is the probability associated with the gamma distribution. A numeric value greater than 0 but less than 1.</p>
<p><b><em>alpha</em></b> is the first parameter of the distribution, a numeric value greater than 0.</p>
<p><b><em>beta</em></b> is the second parameter of the distribution, a numeric value greater than 0. If <b><em>beta</em></b> is 1, the function returns the standard gamma distribution.</p>
<h3>Notes</h3>
<table style="width: 40%">
<tr>
<th style="background-color: #f4f4f4"><b>Argument</b></th>
<th style="background-color: #f4f4f4"><b>Description</b></th>
</tr>
<tr>
<td><b><em>probability</em></b></td>
<td>The probability associated with the gamma distribution. A numeric value greater than 0 but less than 1.</td>
</tr>
<tr>
<td><b><em>alpha</em></b></td>
<td>The first parameter of the distribution, a numeric value greater than 0.</td>
</tr>
<tr>
<td><b><em>beta</em></b></td>
<td>The second parameter of the distribution, a numeric value greater than 0. If <b><em>beta</em></b> is 1, the function returns the standard gamma distribution.</td>
</tr>
</table>
<h3>Notes</h3>
<p><a href="../UsageInstructions/InsertFunction.htm#applyfunction" onclick="onhyperlinkclick(this)">How to apply</a> the <b>GAMMA.INV</b> function.</p>
<h3>Examples</h3>

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@ -18,14 +18,24 @@
<p>The <b>GAMMA</b> function is one of the <a href="../UsageInstructions/InsertFunction.htm#statistical" onclick="onhyperlinkclick(this)">statistical functions</a>. It is used to return the gamma function value.</p>
<h3>Syntax</h3>
<p><b><em>GAMMA(number)</em></b></p>
<p>The <b>GAMMA</b> function has the following argument:</p><p><b><em>number</em></b> is a numeric value entered manually or included into the cell you make reference to.</p>
<h3>Notes</h3>
<p class="note"><b>Note:</b> if the <b><em>number</em></b> is a negative integer or 0 the function returns the <b>#NUM!</b> error value. </p>
<p>The <b>GAMMA</b> function has the following argument:</p>
<table style="width: 40%">
<tr>
<th style="background-color: #f4f4f4"><b>Argument</b></th>
<th style="background-color: #f4f4f4"><b>Description</b></th>
</tr>
<tr>
<td><b><em>number</em></b></td>
<td>A numeric value.</td>
</tr>
</table>
<h3>Notes</h3>
<p>If the <b><em>number</em></b> is a negative integer or 0 the function returns the <b>#NUM!</b> error value. </p>
<p><a href="../UsageInstructions/InsertFunction.htm#applyfunction" onclick="onhyperlinkclick(this)">How to apply</a> the <b>GAMMA</b> function.</p>
<h3>Examples</h3>
<p>The figure below displays the result returned by the <b>GAMMA</b> function.</p>
<p><div class = "smb smb-gamma"></div></p>
<p><img alt="GAMMA Function" src="../images/gamma.png" /></p>
</div>
</body>
</html>

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@ -19,11 +19,30 @@
<h3>Syntax</h3>
<p><b><em>GAMMADIST(x, alpha, beta, cumulative)</em></b></p>
<p>The <b>GAMMADIST</b> function has the following arguments:</p>
<p><b><em>x</em></b> is the value at which the function should be calculated. A numeric value greater than 0.</p>
<p><b><em>alpha</em></b> is the first parameter of the distribution, a numeric value greater than 0.</p>
<p><b><em>beta</em></b> is the second parameter of the distribution, a numeric value greater than 0. If <b><em>beta</em></b> is 1, the function returns the standard gamma distribution.</p>
<p><b><em>cumulative</em></b> is a logical value (TRUE or FALSE) that determines the function form. If it is TRUE, the function returns the cumulative distribution function. If it is FALSE, the function returns the probability density function.</p>
<h3>Notes</h3>
<table style="width: 40%">
<tr>
<th style="background-color: #f4f4f4"><b>Argument</b></th>
<th style="background-color: #f4f4f4"><b>Description</b></th>
</tr>
<tr>
<td><b><em>x</em></b></td>
<td>The value at which the function should be calculated. A numeric value greater than 0.</td>
</tr>
<tr>
<td><b><em>alpha</em></b></td>
<td>The first parameter of the distribution, a numeric value greater than 0.</td>
</tr>
<tr>
<td><b><em>beta</em></b></td>
<td>The second parameter of the distribution, a numeric value greater than 0. If <b><em>beta</em></b> is 1, the function returns the standard gamma distribution.</td>
</tr>
<tr>
<td><b><em>cumulative</em></b></td>
<td>A logical value (TRUE or FALSE) that determines the function form. If it is TRUE, the function returns the cumulative distribution function. If it is FALSE, the function returns the probability density function.</td>
</tr>
</table>
<h3>Notes</h3>
<p><a href="../UsageInstructions/InsertFunction.htm#applyfunction" onclick="onhyperlinkclick(this)">How to apply</a> the <b>GAMMADIST</b> function.</p>
<h3>Examples</h3>

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@ -19,10 +19,26 @@
<h3>Syntax</h3>
<p><b><em>GAMMAINV(probability, alpha, beta)</em></b></p>
<p>The <b>GAMMAINV</b> function has the following arguments:</p>
<p><b><em>probability</em></b> is the probability associated with the gamma distribution. A numeric value greater than 0 but less than 1.</p>
<p><b><em>alpha</em></b> is the first parameter of the distribution, a numeric value greater than 0.</p>
<p><b><em>beta</em></b> is the second parameter of the distribution, a numeric value greater than 0. If <b><em>beta</em></b> is 1, the function returns the standard gamma distribution.</p>
<h3>Notes</h3>
<table style="width: 40%">
<tr>
<th style="background-color: #f4f4f4"><b>Argument</b></th>
<th style="background-color: #f4f4f4"><b>Description</b></th>
</tr>
<tr>
<td><b><em>probability</em></b></td>
<td>The probability associated with the gamma distribution. A numeric value greater than 0 but less than 1.</td>
</tr>
<tr>
<td><b><em>alpha</em></b></td>
<td>The first parameter of the distribution, a numeric value greater than 0.</td>
</tr>
<tr>
<td><b><em>beta</em></b></td>
<td>The second parameter of the distribution, a numeric value greater than 0. If <b><em>beta</em></b> is 1, the function returns the standard gamma distribution.</td>
</tr>
</table>
<h3>Notes</h3>
<p><a href="../UsageInstructions/InsertFunction.htm#applyfunction" onclick="onhyperlinkclick(this)">How to apply</a> the <b>GAMMAINV</b> function.</p>
<h3>Examples</h3>

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@ -18,7 +18,17 @@
<p>The <b>GAUSS</b> function is one of the <a href="../UsageInstructions/InsertFunction.htm#statistical" onclick="onhyperlinkclick(this)">statistical functions</a>. It is used to calculate the probability that a member of a standard normal population will fall between the mean and <b><em>z</em></b> standard deviations from the mean.</p>
<h3>Syntax</h3>
<p><b><em>GAUSS(z)</em></b></p>
<p>The <b>GAUSS</b> function has the following argument:</p><p><b><em>z</em></b> is a numeric value entered manually or included into the cell you make reference to.</p>
<p>The <b>GAUSS</b> function has the following argument:</p>
<table style="width: 40%">
<tr>
<th style="background-color: #f4f4f4"><b>Argument</b></th>
<th style="background-color: #f4f4f4"><b>Description</b></th>
</tr>
<tr>
<td><b><em>z</em></b></td>
<td>A numeric value.</td>
</tr>
</table>
<h3>Notes</h3>
<p><a href="../UsageInstructions/InsertFunction.htm#applyfunction" onclick="onhyperlinkclick(this)">How to apply</a> the <b>GAUSS</b> function.</p>

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@ -17,9 +17,20 @@
<h1>GCD Function</h1>
<p>The <b>GCD</b> function is one of the <a href="../UsageInstructions/InsertFunction.htm#mathtrigonometry" onclick="onhyperlinkclick(this)">math and trigonometry functions</a>. It is used to return the greatest common divisor of two or more numbers.</p>
<h3>Syntax</h3>
<p><b><em>GCD(argument-list)</em></b></p>
<p>The <b>GCD</b> function has the following argument:</p><p><b><em>argument-list</em></b> is up to 30 numeric values entered manually or included into the cells you make reference to.</p>
<h3>Notes</h3>
<p><b><em>GCD(number1, [number2], ...)</em></b></p>
<p>The <b>GCD</b> function has the following arguments:</p>
<table style="width: 40%">
<tr>
<th style="background-color: #f4f4f4"><b>Argument</b></th>
<th style="background-color: #f4f4f4"><b>Description</b></th>
</tr>
<tr>
<td><b><em>number1/2/n</em></b></td>
<td>Up to 30 numeric values for which you want to get the greatest common divisor.</td>
</tr>
</table>
<h3>Notes</h3>
<p><a href="../UsageInstructions/InsertFunction.htm#applyfunction" onclick="onhyperlinkclick(this)">How to apply</a> the <b>GCD</b> function.</p>
<h3>Examples</h3>

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<h1>GEOMEAN Function</h1>
<p>The <b>GEOMEAN</b> function is one of the <a href="../UsageInstructions/InsertFunction.htm#statistical" onclick="onhyperlinkclick(this)">statistical functions</a>. It is used to calculate the geometric mean of the argument list.</p>
<h3>Syntax</h3>
<p><b><em>GEOMEAN(argument-list)</em></b></p>
<p>The <b>GEOMEAN</b> function has the following argument:</p><p><b><em>argument-list</em></b> is up to 30 numerical values greater than 0 entered manually or included into the cells you make reference to.</p>
<h3>Notes</h3>
<p><b><em>GEOMEAN(number1, [number2], ...)</em></b></p>
<p>The <b>GEOMEAN</b> function has the following arguments:</p>
<table style="width: 40%">
<tr>
<th style="background-color: #f4f4f4"><b>Argument</b></th>
<th style="background-color: #f4f4f4"><b>Description</b></th>
</tr>
<tr>
<td><b><em>number1/2/n</em></b></td>
<td>Up to 30 numeric values for which you want to get the geometric mean.</td>
</tr>
</table>
<h3>Notes</h3>
<p><a href="../UsageInstructions/InsertFunction.htm#applyfunction" onclick="onhyperlinkclick(this)">How to apply</a> the <b>GEOMEAN</b> function.</p>
<h3>Examples</h3>

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<h1>GESTEP Function</h1>
<p>The <b>GESTEP</b> function is one of the <a href="../UsageInstructions/InsertFunction.htm#engineering" onclick="onhyperlinkclick(this)">engineering functions</a>. It is used to test if a number is greater than a threshold value. The function returns 1 if the number is greater than or equal to the threshold value and 0 otherwise.</p>
<h3>Syntax</h3>
<p><b><em>GESTEP(number [, step])</em></b></p>
<p><b><em>GESTEP(number ,[step])</em></b></p>
<p>The <b>GESTEP</b> function has the following arguments:</p>
<p><b><em>number</em></b> is a number to compare with <b><em>step</em></b>.</p>
<p><b><em>step</em></b> is a threshold value. It is an optional argument. If it is omitted, the function will assume <b><em>step</em></b> to be 0.</p>
<h3>Notes</h3>
<table style="width: 40%">
<tr>
<th style="background-color: #f4f4f4"><b>Argument</b></th>
<th style="background-color: #f4f4f4"><b>Description</b></th>
</tr>
<tr>
<td><b><em>number</em></b></td>
<td>A number to compare with <b><em>step</em></b>.</td>
</tr>
<tr>
<td><b><em>step</em></b></td>
<td>A threshold value. It is an optional argument. If it is omitted, the function will assume <b><em>step</em></b> to be 0.</td>
</tr>
</table>
<h3>Notes</h3>
<p><a href="../UsageInstructions/InsertFunction.htm#applyfunction" onclick="onhyperlinkclick(this)">How to apply</a> the <b>GESTEP</b> function.</p>
<h3>Examples</h3>

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<h3>Syntax</h3>
<p><b><em>GROWTH(known_ys, [known_xs], [new_xs], [const])</em></b></p>
<p>The <b>GROWTH</b> function has the following arguments:</p>
<p><b><em>known_ys</em></b> is the set of y-values you already know in the <em>y = b*m^x</em> equation.</p>
<p><b><em>known_xs</em></b> is the optional set of x-values you might know in the <em>y = b*m^x</em> equation.</p>
<p><b><em>new_xs</em></b> is the optional set of x-values you want y-values to be returned to.</p>
<p><b><em>const</em></b> is an optional argument. It is a TRUE or FALSE value where TRUE or lack of the argument forces <em>b</em> to be calculated normally and FALSE sets <em>b</em> to 1 in the <em>y = b*m^x</em> equation.</p>
<table style="width: 40%">
<tr>
<th style="background-color: #f4f4f4"><b>Argument</b></th>
<th style="background-color: #f4f4f4"><b>Description</b></th>
</tr>
<tr>
<td><b><em>known_ys</em></b></td>
<td>The set of y-values you already know in the <em>y = b*m^x</em> equation.</td>
</tr>
<tr>
<td><b><em>known_xs</em></b></td>
<td>The optional set of x-values you might know in the <em>y = b*m^x</em> equation.</td>
</tr>
<tr>
<td><b><em>new_xs</em></b></td>
<td>The optional set of x-values you want y-values to be returned to.</td>
</tr>
<tr>
<td><b><em>const</em></b></td>
<td>An optional argument. It is a TRUE or FALSE value where TRUE or lack of the argument forces <em>b</em> to be calculated normally and FALSE sets <em>b</em> to 1 in the <em>y = b*m^x</em> equation.</td>
</tr>
</table>
<h3>Notes</h3>
<p><a href="../UsageInstructions/InsertFunction.htm#applyfunction" onclick="onhyperlinkclick(this)">How to apply</a> the <b>GROWTH</b> function.</p>

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<h1>HARMEAN Function</h1>
<p>The <b>HARMEAN</b> function is one of the <a href="../UsageInstructions/InsertFunction.htm#statistical" onclick="onhyperlinkclick(this)">statistical functions</a>. It is used to calculate the harmonic mean of the argument list.</p>
<h3>Syntax</h3>
<p><b><em>HARMEAN(argument-list)</em></b></p>
<p>The <b>HARMEAN</b> function has the following argument:</p><p><b><em>argument-list</em></b> is up to 30 numerical values greater than 0 entered manually or included into the cells you make reference to.</p>
<h3>Notes</h3>
<p><b><em>HARMEAN(number1, [number2], ...)</em></b></p>
<p>The <b>HARMEAN</b> function has the following arguments:</p>
<table style="width: 40%">
<tr>
<th style="background-color: #f4f4f4"><b>Argument</b></th>
<th style="background-color: #f4f4f4"><b>Description</b></th>
</tr>
<tr>
<td><b><em>number1/2/n</em></b></td>
<td>Up to 30 numeric values for which you want to get the harmonic mean.</td>
</tr>
</table>
<h3>Notes</h3>
<p><a href="../UsageInstructions/InsertFunction.htm#applyfunction" onclick="onhyperlinkclick(this)">How to apply</a> the <b>HARMEAN</b> function.</p>
<h3>Examples</h3>

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<h1>HLOOKUP Function</h1>
<p>The <b>HLOOKUP</b> function is one of the <a href="../UsageInstructions/InsertFunction.htm#lookupreference" onclick="onhyperlinkclick(this)">lookup and reference functions</a>. It is used to perform the horizontal search for a value in the top row of a table or an array and return the value in the same column based on a specified row index number.</p>
<h3>Syntax</h3>
<p><b><em>HLOOKUP (lookup-value, table-array, row-index-num[, [range-lookup-flag]])</em></b></p>
<p><b><em>HLOOKUP (lookup_value, table_array, row_index_num, [range_lookup])</em></b></p>
<p>The <b>HLOOKUP</b> function has the following arguments:</p>
<p><b><em>lookup-value</em></b> is a value to search for.</p>
<p><b><em>table-array</em></b> are two or more rows containing data sorted in ascending order.</p>
<p><b><em>row-index-num</em></b> is a row number in the same column of the <b><em>table-array</em></b>, a numeric value greater than or equal to 1 but less than the number of rows in the <b>table-array</b>.</p>
<p><b><em>range-lookup-flag</em></b> is an optional argument. It is a logical value: TRUE or FALSE. Enter FALSE to find an exact match. Enter TRUE to find an approximate match, in this case if there is not a value that strictly matches the <b><em>lookup-value</em></b>, then the function will choose the next largest value less than the <b><em>lookup-value</em></b>. If this argument is absent, the function will find an approximate match.</p>
<h3>Notes</h3>
<p>If the <b><em>range-lookup-flag</em></b> is set to FALSE, but no exact match is found, then the function will return the <b>#N/A</b> error.</p>
<table style="width: 40%">
<tr>
<th style="background-color: #f4f4f4"><b>Argument</b></th>
<th style="background-color: #f4f4f4"><b>Description</b></th>
</tr>
<tr>
<td><b><em>lookup_value</em></b></td>
<td>A value to search for.</td>
</tr>
<tr>
<td><b><em>table_array</em></b></td>
<td>two or more rows containing data sorted in ascending order.</td>
</tr>
<tr>
<td><b><em>row_index_num</em></b></td>
<td>A row number in the same column of the <b><em>table_array</em></b>, a numeric value greater than or equal to 1 but less than the number of rows in the <b>table_array</b>.</td>
</tr>
<tr>
<td><b><em>range_lookup</em></b></td>
<td>An optional argument. It is a logical value: TRUE or FALSE. Enter FALSE to find an exact match. Enter TRUE to find an approximate match, in this case if there is not a value that strictly matches the <b><em>lookup_value</em></b>, then the function will choose the next largest value less than the <b><em>lookup_value</em></b>. If this argument is absent, the function will find an approximate match.</td>
</tr>
</table>
<h3>Notes</h3>
<p>If the <b><em>range_lookup</em></b> is set to FALSE, but no exact match is found, then the function will return the <b>#N/A</b> error.</p>
<p><a href="../UsageInstructions/InsertFunction.htm#applyfunction" onclick="onhyperlinkclick(this)">How to apply</a> the <b>HLOOKUP</b> function.</p>
<h3>Examples</h3>

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<h1>HOUR Function</h1>
<p>The <b>HOUR</b> function is one of the <a href="../UsageInstructions/InsertFunction.htm#datetime" onclick="onhyperlinkclick(this)">date and time functions</a>. It returns the hour (a number from 0 to 23) of the time value.</p>
<h3>Syntax</h3>
<p><b><em>HOUR( time-value )</em></b></p>
<p>The <b>HOUR</b> function has the following argument:</p><p><b><em>time-value</em></b> is a value entered manually or included into the cell you make reference to.</p>
<p><b><em>HOUR(serial_number)</em></b></p>
<p>The <b>HOUR</b> function has the following argument:</p>
<table style="width: 40%">
<tr>
<th style="background-color: #f4f4f4"><b>Argument</b></th>
<th style="background-color: #f4f4f4"><b>Description</b></th>
</tr>
<tr>
<td><b><em>serial_number</em></b></td>
<td>The time value that contains the hour you want to find.</td>
</tr>
</table>
<h3>Notes</h3>
<p class="note"><b>Note</b>: the <b><em>time-value</em></b> may be expressed as a string value (e.g. "13:39"), a decimal number (e.g. 0.56 corresponds to 13:26) , or the result of a formula (e.g. the result of the NOW function in the default format - 9/26/12 13:39)</p>
<p>The <b><em>serial_number</em></b> may be expressed as a string value (e.g. "13:39"), a decimal number (e.g. 0.56 corresponds to 13:26) , or the result of a formula (e.g. the result of the NOW function in the default format - 9/26/12 13:39)</p>
<p><a href="../UsageInstructions/InsertFunction.htm#applyfunction" onclick="onhyperlinkclick(this)">How to apply</a> the <b>HOUR</b> function.</p>
<h3>Examples</h3>

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<h3>Syntax</h3>
<p><b><em>HSTACK (array1, [array2], ...)</em></b></p>
<p>The <b>HSTACK</b> function has the following arguments:</p>
<p><b><em>array</em></b> is used to set the arrays to append.</p>
<table style="width: 40%">
<tr>
<th style="background-color: #f4f4f4"><b>Argument</b></th>
<th style="background-color: #f4f4f4"><b>Description</b></th>
</tr>
<tr>
<td><b><em>array1/2/n</em></b></td>
<td>Is used to set the arrays to append.</td>
</tr>
</table>
<h3>Notes</h3>
<p>Please note that this is an array formula. To learn more, please read the <a href="../UsageInstructions/InsertArrayFormulas.htm" onclick="onhyperlinkclick(this)">Insert array formulas</a> article.</p>
<p><a href="../UsageInstructions/InsertFunction.htm#applyfunction" onclick="onhyperlinkclick(this)">How to apply</a> the <b>HSTACK</b> function.</p>
<p class="note">Please note that this is an array formula. To learn more, please read the <a href="../UsageInstructions/InsertArrayFormulas.htm" onclick="onhyperlinkclick(this)">Insert array formulas</a> article.</p>
<h3>Examples</h3>
<p>The figure below displays the result returned by the <b>HSTACK</b> function.</p>
<!--<p><img alt="HSTACK Function" src="../images/hstack.png" /></p>-->
<p><img alt="HSTACK Function" src="../images/hstack.png" /></p>
</div>
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<h1>VALUE Function</h1>
<p>The <b>VALUE</b> function is one of the <a href="../UsageInstructions/InsertFunction.htm#textdata" onclick="onhyperlinkclick(this)">text and data functions</a>. Is used to convert a text value that represents a number to a number. If the converted text is not a number, the function will return a <b>#VALUE!</b> error.</p>
<h3>Syntax</h3>
<p><b><em>VALUE(string)</em></b></p>
<p>The <b>VALUE</b> function has the following argument:</p><p><b><em>string</em></b> is text data that represents a number entered manually or included into the cell you make reference to.</p>
<h3>Notes</h3>
<p><b><em>VALUE(text)</em></b></p>
<p>The <b>VALUE</b> function has the following argument:</p>
<table style="width: 40%">
<tr>
<th style="background-color: #f4f4f4"><b>Argument</b></th>
<th style="background-color: #f4f4f4"><b>Description</b></th>
</tr>
<tr>
<td><b><em>text</em></b></td>
<td>Text data that represents a number.</td>
</tr>
</table>
<h3>Notes</h3>
<p><a href="../UsageInstructions/InsertFunction.htm#applyfunction" onclick="onhyperlinkclick(this)">How to apply</a> the <b>VALUE</b> function.</p>
<h3>Examples</h3>

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<h1>VLOOKUP Function</h1>
<p>The <b>VLOOKUP</b> function is one of the <a href="../UsageInstructions/InsertFunction.htm#lookupreference" onclick="onhyperlinkclick(this)">lookup and reference functions</a>. It is used to perform the vertical search for a value in the left-most column of a table or an array and return the value in the same row based on a specified column index number.</p>
<h3>Syntax</h3>
<p><b><em>VLOOKUP (lookup-value, table-array, col-index-num[, [range-lookup-flag]])</em></b></p>
<p><b><em>VLOOKUP (lookup_value, table_array, col_index_num, [range_lookup_flag])</em></b></p>
<p>The <b>VLOOKUP</b> function has the following arguments:</p>
<p><b><em>lookup-value</em></b> is a value to search for.</p>
<p><b><em>table-array</em></b> is two or more columns containing data sorted in ascending order.</p>
<p><b><em>col-index-num</em></b> is a column number in the <b><em>table-array</em></b>, a numeric value greater than or equal to 1 but less than the number of columns in the <b>table-array</b></p>
<p><b><em>range-lookup-flag</em></b> is a logical value TRUE or FALSE. It is an optional argument. Enter FALSE to find an exact match. Enter TRUE or omit this argument to find an approximate match, in this case if there is not a value that strictly matches the <b><em>lookup-value</em></b>, then the function will choose the next largest value less than the <b><em>lookup-value</em></b>.</p>
<h3>Notes</h3>
<p>If the <b><em>range-lookup-flag</em></b> is set to FALSE, but no exact match is found, then the function will return the <b>#N/A</b> error.</p>
<table style="width: 40%">
<tr>
<th style="background-color: #f4f4f4"><b>Argument</b></th>
<th style="background-color: #f4f4f4"><b>Description</b></th>
</tr>
<tr>
<td><b><em>lookup_value</em></b></td>
<td>A value to search for.</td>
</tr>
<tr>
<td><b><em>table_array</em></b></td>
<td>Two or more columns containing data sorted in ascending order.</td>
</tr>
<tr>
<td><b><em>col_index_num</em></b></td>
<td>A column number in the <b><em>table_array</em></b>, a numeric value greater than or equal to 1 but less than the number of columns in the <b>table_array</b>.</td>
</tr>
<tr>
<td><b><em>range_lookup_flag</em></b></td>
<td>A logical value TRUE or FALSE. It is an optional argument. Enter FALSE to find an exact match. Enter TRUE or omit this argument to find an approximate match, in this case if there is not a value that strictly matches the <b><em>lookup_value</em></b>, then the function will choose the next largest value less than the <b><em>lookup_value</em></b>.</td>
</tr>
</table>
<h3>Notes</h3>
<p>If the <b><em>range_lookup_flag</em></b> is set to FALSE, but no exact match is found, then the function will return the <b>#N/A</b> error.</p>
<p><a href="../UsageInstructions/InsertFunction.htm#applyfunction" onclick="onhyperlinkclick(this)">How to apply</a> the <b>VLOOKUP</b> function.</p>
<h3>Examples</h3>

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<h3>Syntax</h3>
<p><b><em>VSTACK (array1, [array2], ...)</em></b></p>
<p>The <b>VSTACK</b> function has the following arguments:</p>
<p><b><em>array</em></b> is used to set the arrays to append.</p>
<table style="width: 40%">
<tr>
<th style="background-color: #f4f4f4"><b>Argument</b></th>
<th style="background-color: #f4f4f4"><b>Description</b></th>
</tr>
<tr>
<td><b><em>array1/2/n</em></b></td>
<td>Is used to set the arrays to append.</td>
</tr>
</table>
<h3>Notes</h3>
<p>Please note that this is an array formula. To learn more, please read the <a href="../UsageInstructions/InsertArrayFormulas.htm" onclick="onhyperlinkclick(this)">Insert array formulas</a> article.</p>
<p><a href="../UsageInstructions/InsertFunction.htm#applyfunction" onclick="onhyperlinkclick(this)">How to apply</a> the <b>VSTACK</b> function.</p>
<p class="note">Please note that this is an array formula. To learn more, please read the <a href="../UsageInstructions/InsertArrayFormulas.htm" onclick="onhyperlinkclick(this)">Insert array formulas</a> article.</p>
<h3>Examples</h3>
<p>The figure below displays the result returned by the <b>VSTACK</b> function.</p>
<!--<p><img alt="VSTACK Function" src="../images/vstack.png" /></p>-->
<p><img alt="VSTACK Function" src="../images/vstack.png" /></p>
</div>
</body>
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