Calculate mean and standard deviation of a vector
1. vinc 1 2. vinc Col(A) 3. vinc ix:=col(a) mean:=mymean sd:=mysd
Please refer to the page for additional option switches when accessing the x-function from script
Display Name |
Variable Name |
I/O and Type |
Default Value |
Description |
---|---|---|---|---|
Input | ix |
Input vector |
|
The input vector to be calculated average increment. |
Matrix | mean |
Output double |
|
Mean value of the vector. |
sd |
Output double |
|
Standard deviation of the vector. |
This function is used to describe the basic characteristics of the vector. It summarizes aspects, such as mean and standard deviation.
// 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]
For the detail of this function, please see the help of Statistics on columns.
Keywords:stats, statistics