bullseye (version 0.1.2)

pairwise_scores: Calculates scores or conditional scores for a dataset

Description

Calculates scores for every variable pair in a dataset when by is NULL. If by is a name of a variable in the dataset, conditional scores for every variable pair at different levels of the grouping variable are calculated.

Usage

pairwise_scores(
  d,
  by = NULL,
  ungrouped = TRUE,
  control = pair_control(),
  handle.na = TRUE
)

Value

A tibble with class pairwise.

Arguments

d

a dataframe

by

a character string for the name of the conditioning variable. Set to NULL by default.

ungrouped

Ignored if by is NULL. If TRUE calculates the ungrouped score in addition to grouped scores.

control

a list for the measures to be calculated for different variable types. The default is pair_control() which calculates Pearson's correlation if the variable pair is numeric, canonical correlation for factor or mixed pairs, and polychoric correlation for two ordered factors.

handle.na

If TRUE uses pairwise complete observations to calculate measure of association.

Details

Returns a pairwise tibble structure.

Examples

irisc <- pairwise_scores(iris)
irisc <- pairwise_scores(iris, control=pair_control(nnargs= c(method="spearman")))
irisc <- pairwise_scores(iris, control=pair_control(fn="pair_ace"))

#Lots of numerical measures
irisc <- pairwise_scores(iris, control=pair_control(nn="pairwise_multi", fn=NULL))
irisc <- pairwise_scores(iris, 
             control=pair_control(nn="pairwise_multi",  nnargs="pair_cor", fn=NULL))
#conditional measures
cond_iris <- pairwise_scores(iris, by = "Species") 
cond_iris_wo <- pairwise_scores(iris, by = "Species",ungrouped=FALSE) # without overall
irisc <- pairwise_scores(iris, control=pair_control(nn="pairwise_multi", fn=NULL))
irisc <- pairwise_scores(iris, by = "Species",control=pair_control(nn="pairwise_multi", fn=NULL))

#scagnostics
sc <- pairwise_scores(iris, control=pair_control(nn="pair_scagnostics", fn=NULL)) # ignore fn pairs
sc <- pairwise_scores(iris, by = "Species",
                  control=pair_control(nn="pair_scagnostics", fn=NULL)) # ignore fn pairs