rgr (version 1.1.15)

gx.spearman: Display Spearman Correlation Coefficients and their Significances

Description

The function computes Spearman rank correlation coefficients and places them in the upper triangle of a printed matrix displayed on the current device, the probabilities that the coefficients are not due to chance (Ho: Coefficient = 0) are printed in the lower triangle. The diagonal is filled with NAs to visually split the two triangles.

Usage

gx.spearman(xx, ifclr = FALSE, ifwarn = TRUE)

Arguments

xx

a matrix of numeric data.

ifclr

if ifclr = TRUE the data are Centred Log-Ratio transformed prior to the computation of the Pearson Coefficients. The default is no transformation.

ifwarn

by default ifwarn = TRUE which generates a reminder/warning that when carrying out a centred log-ratio transformation all the data must be in the same measurement units. The message can be suppressed by setting ifwarn = FALSE.

See Also

ltdl.fix.df, remove.na, clr

Examples

# NOT RUN {
## Make test data available
data(sind.mat2open)

## Compute Spearman correlation coefficients
gx.spearman(sind.mat2open)

## Note, unlike gx.pearson there is no example with a log
## transformation.  The log transformation is monotonic
## and does not change the ranks

## Compute Spearmann correlation coefficients following
## a centred log-ratio transformation
gx.spearman(sind.mat2open, ifclr = TRUE)
# }