Module Library
The IMLMLIB library contains the following computational modules:
- CORR2COV function
-
scales a correlation matrix into a covariance matrix
- COV2CORR function
-
scales a covariance matrix into a correlation matrix
- EXPMATRIX function
-
computes the exponential of a matrix
- ISEMPTY function
-
returns 1 if the argument is an empty matrix (zero rows and columns) and 1 otherwise
- MAGIC function
-
returns a magic square of a given size
- MAHALANOBIS function
-
computes Mahalanobis distance
- MEDIAN function
-
returns the median of numeric data
- QUADREG call
-
performs quadratic regression
- QUARTILE function
-
computes quartiles
- REGRESS call
-
performs regression analysis
- STANDARD function
-
standardizes numeric data
The IMLMLIB library contains the following utility modules:
- BLANKSTR function
-
returns a blank string of a specified length.
- COL function
-
returns a matrix, M, that is the same size as the input matrix and such that
![$M[i,j]=i$](images/imlug_modlib0001.png)
.
- COLVEC function
-
converts a matrix into a column vector
- EXPANDGRID function
-
returns a matrix that contains all combinations of elements from specified vectors
- NDX2SUB function
-
converts matrix indices to subscripts
- PALETTE function
-
returns a discrete color palette that is suitable for visualizing categorical data
- ROW function
-
returns a matrix, M, that is the same size as the input matrix and such that
![$M[i,j]=j$](images/imlug_modlib0002.png)
.
- ROWVEC function
-
converts a matrix into a row vector
- RSUBSTR function
-
replaces substrings
- SUB2NDX function
-
converts matrix subscripts to indices
- TABPRT call
-
prints matrices in tabular format
The library contains the following functions for generating random samples from statistical distributions:
- RANDDIRICHLET function
-
generates a random sample from a Dirichlet distribution
- RANDFUN function
-
returns a matrix of random numbers from a specified distribution
- RANDMULTINOMIAL function
-
generates a random sample from a multinomial distribution
- RANDMVT function
-
generates a random sample from a multivariate Student’s t distribution
- RANDNORMAL function
-
generates a random sample from a multivariate normal distribution
- RANDWISHART function
-
generates a random sample from a Wishart distribution
The library contains the following graphical subroutines that produce ODS graphics:
- BAR call
-
creates a bar chart
- BOX call
-
creates a box plot
- HEATMAPCONT call
-
creates a heat map with a continuous color ramp
- HEATMAPDISC call
-
creates a heat map with a discrete color ramp
- HISTOGRAM call
-
creates a histogram
- SCATTER call
-
creates a scatter plot
- SERIES call
-
creates a series plot
For compatibility with previous releases, the IMLMLIB library contains the following graphical subroutines that produce legacy graphics:
- GBXWHSKR call
-
draws a box-and-whiskers plot
- GPROBCNT call
-
draws a scatter plot with bivariate normal probability contours
- GXYPLOT call
-
draws scatter plots of x-y data