# 2.1.15 vinc

## Brief Information

Calculate mean and standard deviation of a vector

## Command Line Usage

1. vinc 1
2. vinc Col(A)
3. vinc ix:=col(a) mean:=mymean sd:=mysd


## Variables

Display
Name
Variable
Name
I/O
and
Type
Default
Value
Description
Input ix

Input

vector

<active>

The input vector to be calculated average increment.

Matrix mean

Output

double

mean

Mean value of the vector.

sd

Output

double

sd

Standard deviation of the vector.

## Description

This function is used to describe the basic characteristics of the vector. It summarizes aspects, such as mean and standard deviation.

## Examples

// vinc function can be used to determine a mean
// step size between values in a column
newbook;
// Create some unsorted random data
int N = 1000;
col(1) = normal(N);
vinc ix:=col(1) mean:=step sd:=sd;
type Mean step size of $(step), sd of$(sd);
// Now let's sort the column and try again
col(1) = sort(col(1));
vinc ix:=col(1) mean:=step sd:=sd;
type After sorting, mean step size of $(step), sd of$(sd);
// So col(1)[1]+(N-1)*step == col(1)[N]

## Algorithm

For the detail of this function, please see the help of Statistics on columns.

## Related X-Functions

Keywords:stats, statistics