LOGNORM.INV function
PRO
The LOGNORM.INV
function in Jspreadsheet Formulas Pro is a statistical tool that calculates and returns the inverse of the cumulative log-normal distribution, based on given parameters of probability, mean, and standard deviation. Simply put, it helps you find out a value X, for which the log-normal distribution is less than or equal to a certain probability. This function is particularly useful in scenarios where you have a skewed distribution of data, rather than a normal or evenly distributed set.
Documentation
Returns the inverse of the cumulative log-normal distribution for a specified probability, mean, and standard deviation.
Category
Statistical
Syntax
LOGNORM.INV(probability, mean, standard_dev)
Parameter | Description |
---|---|
probability |
The probability for which you want to find the corresponding inverse of the cumulative log-normal distribution. |
mean |
The mean of ln(x), where x is normally distributed. Can be any real number. |
standard_dev |
The standard deviation of ln(x), where x is normally distributed. Must be positive. |
Behavior
The LOGNORM.INV
function returns the inverse of the lognormal cumulative distribution function (CDF) for a specified mean and standard deviation. If the CDF is PROB
, LOGNORM.INV(PROB, mean, standard_dev)
is the value x
such that LOGNORM.DIST(x, mean, standard_dev, TRUE) = PROB
.
- When the cell references for mean or standard deviation are empty, the function will return a
#NUM!
error. - It will return a
#NUM!
error if the probability is less than or equal to 0 or greater than or equal to 1, or if standard deviation is less than or equal to 0. - If the input cells contain text or booleans, the function will return a
#VALUE!
error. - If the input cells contain error values,
LOGNORM.INV
will propagate that error.
Common Errors
Error | Description |
---|---|
#NUM! |
Occurs if the provided probability is less than or equal to 0 or greater than or equal to 1, or if standard deviation is less than or equal to 0. Also occurs if either mean or standard deviation cell references are empty. |
#VALUE! |
Occurs if the given arguments are not recognized as numeric values, such as text or boolean inputs. |
Best practices
- Always ensure that your probability is a number strictly between 0 and 1, as any value outside this range will result in a
#NUM!
error.- Make sure that your standard deviation is a positive number. A zero or negative standard deviation will also result in a
#NUM!
error.- Be careful with your input data types. Inputs that are text or boolean will cause a
#VALUE!
error.- It's always a good idea to check for errors in your referenced cells before using
LOGNORM.INV
, as any error in a referenced cell will propagate through to your function.
Usage
A few examples using the LOGNORM.INV function.
LOGNORM.INV(0.5, 0, 1)
// Returns 1, the median for a lognormal distribution with mean=0 and std_dev=1.
LOGNORM.INV(0.9, 0, 0.25)
// Returns approximately 1.377662044, representing the 90th percentile for a lognormal distribution with mean=0 and std_dev=0.25.
LOGNORM.INV(0.05, 0.5, 0.1)
// Returns approximately 1.398660003, representing the 5th percentile for a distribution with mean=0.5 and std_dev=0.1.
Interactive Spreadsheet Demo
<html>
<script src="https://jspreadsheet.com/v11/jspreadsheet.js"></script>
<script src="https://jsuites.net/v5/jsuites.js"></script>
<link rel="stylesheet" href="https://jsuites.net/v5/jsuites.css" type="text/css" />
<link rel="stylesheet" href="https://jspreadsheet.com/v11/jspreadsheet.css" type="text/css" />
<link rel="stylesheet" href="https://fonts.googleapis.com/css?family=Material+Icons" />
<script src="https://cdn.jsdelivr.net/npm/@jspreadsheet/formula-pro/dist/index.min.js"></script>
<div id="spreadsheet"></div>
<script>
// Set your JSS license key (The following key only works for one day)
jspreadsheet.setLicense('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');
// Set the extensions
jspreadsheet.setExtensions({ formula });
// Create a new spreadsheet
jspreadsheet(document.getElementById('spreadsheet'), {
worksheets: [{
data: [
[
"Probability",
"Mean",
"Std Dev",
"Log-Normal Inverse"
],
[
0.25,
0,
1,
"=LOGNORM.INV(A2,B2,C2)"
],
[
0.5,
0.5,
0.8,
"=LOGNORM.INV(A3,B3,C3)"
],
[
0.75,
1,
1.2,
"=LOGNORM.INV(A4,B4,C4)"
],
[
0.9,
0.2,
0.6,
"=LOGNORM.INV(A5,B5,C5)"
]
]
}]
});
</script>
</html>
import React, { useRef } from "react";
import { Spreadsheet, Worksheet, jspreadsheet } from "@jspreadsheet/react";
import formula from "@jspreadsheet/formula-pro";
import "jsuites/dist/jsuites.css";
import "jspreadsheet/dist/jspreadsheet.css";
// Set license
jspreadsheet.setLicense('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');
// Set the extensions
jspreadsheet.setExtensions({ formula });
export default function App() {
// Spreadsheet array of worksheets
const spreadsheet = useRef();
// Worksheet data
const data = [
[
"Probability",
"Mean",
"Std Dev",
"Log-Normal Inverse"
],
[
0.25,
0,
1,
"=LOGNORM.INV(A2,B2,C2)"
],
[
0.5,
0.5,
0.8,
"=LOGNORM.INV(A3,B3,C3)"
],
[
0.75,
1,
1.2,
"=LOGNORM.INV(A4,B4,C4)"
],
[
0.9,
0.2,
0.6,
"=LOGNORM.INV(A5,B5,C5)"
]
];
// Render component
return (
<Spreadsheet ref={spreadsheet}>
<Worksheet data={data} />
</Spreadsheet>
);
}
<template>
<Spreadsheet ref="spreadsheet">
<Worksheet :data="data" />
</Spreadsheet>
</template>
<script>
import { Spreadsheet, Worksheet, jspreadsheet } from "@jspreadsheet/vue";
import "jsuites/dist/jsuites.css";
import "jspreadsheet/dist/jspreadsheet.css";
import formula from "@jspreadsheet/formula-pro";
// Set license
jspreadsheet.setLicense('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');
// Set the extensions
jspreadsheet.setExtensions({ formula });
export default {
components: {
Spreadsheet,
Worksheet,
},
data() {
// Worksheet data
const data = [
[
"Probability",
"Mean",
"Std Dev",
"Log-Normal Inverse"
],
[
0.25,
0,
1,
"=LOGNORM.INV(A2,B2,C2)"
],
[
0.5,
0.5,
0.8,
"=LOGNORM.INV(A3,B3,C3)"
],
[
0.75,
1,
1.2,
"=LOGNORM.INV(A4,B4,C4)"
],
[
0.9,
0.2,
0.6,
"=LOGNORM.INV(A5,B5,C5)"
]
]
return {
data
};
}
}
</script>
import { Component, ViewChild, ElementRef } from "@angular/core";
import jspreadsheet from "jspreadsheet";
import * as formula from "@jspreadsheet/formula-pro";
// Set your JSS license key (The following key only works for one day)
jspreadsheet.setLicense('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');
// Set the extensions
jspreadsheet.setExtensions({ formula });
@Component({
standalone: true,
selector: "app-root",
template: `<div #spreadsheet></div>`
})
export class AppComponent {
@ViewChild("spreadsheet") spreadsheet: ElementRef;
// Worksheets
worksheets: jspreadsheet.worksheetInstance[];
// Create a new data grid
ngAfterViewInit() {
// Create spreadsheet
this.worksheets = jspreadsheet(this.spreadsheet.nativeElement, {
worksheets: [{
data: [
[
"Probability",
"Mean",
"Std Dev",
"Log-Normal Inverse"
],
[
0.25,
0,
1,
"=LOGNORM.INV(A2,B2,C2)"
],
[
0.5,
0.5,
0.8,
"=LOGNORM.INV(A3,B3,C3)"
],
[
0.75,
1,
1.2,
"=LOGNORM.INV(A4,B4,C4)"
],
[
0.9,
0.2,
0.6,
"=LOGNORM.INV(A5,B5,C5)"
]
]
}]
});
}
}