norout(3f) - [M_datapac:ANALYSIS] Performs a normal outlier analysis on the data in the input vector X.
Synopsis
Description
Input Arguments
Output
Examples
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Maintainer
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References
SUBROUTINE NOROUT(X,N)
real(kind=wp),intent(in) :: X(:) integer,intent(in) :: N
NOROUT(3f) performs a normal outlier analysis on the data in the input vector X.
This analysis consists of--
1. various normal outlier statistics; 2. various partial sample means 3. various partial sample standard deviations; 4. the first 40 and last 40 ordered observations; 5. a line plot; and 6. a normal probability plot. When the first 40 and last 40 ordered observations are printed out, also included for each of the 40+40 = 80 listed data values is the corresponding residual about the (full) sample mean, the standardized residual, the normal n(0,1) value for the standardized residual, and the position number in the original data vector X.
This last piece of information allows the data analyst to easily locate back in the original data vector. A suspected outlier or otherwise interesting observation.
X The vector of (unsorted or sorted) observations. N The integer number of observations in the vector X. The maximum allowable value of N for this subroutine is 7500.
4 pages of automatic printout as described in the description above.
Sample program:
program demo_norout use M_datapac, only : norout implicit none ! call norout(x,y) end program demo_noroutResults:
The original DATAPAC library was written by James Filliben of the Statistical Engineering Division, National Institute of Standards and Technology.
John Urban, 2022.05.31
CC0-1.0
o Grubbs, Technometrics, 1969, pages 1-21
Nemo Release 3.1 | norout (3) | February 23, 2025 |