Reshape correlation analysis results. Key functions:
cor_gather()
: takes a correlation matrix and collapses (i.e. melt) it into a paired list
(long format).
cor_spread()
: spread a long correlation data format across
multiple columns. Particularly, it takes the results of cor_test
and transforms it into a correlation matrix.
cor_gather(data, drop.na = TRUE)cor_spread(data, value = "cor")
a data frame or matrix.
logical. If TRUE, drop rows containing missing values after gathering the data.
column name containing the value to spread.
cor_gather
: takes a correlation matrix and collapses (or melt) it into long
format data frame (paired list)
cor_spread
: spread a long correlation data frame into wide format
(correlation matrix).
cor_mat()
, cor_reorder()
# NOT RUN {
# Data preparation
#::::::::::::::::::::::::::::::::::::::::::
mydata <- mtcars %>%
select(mpg, disp, hp, drat, wt, qsec)
head(mydata, 3)
# Reshape a correlation matrix
#::::::::::::::::::::::::::::::::::::::::::
# Compute a correlation matrix
cor.mat <- mydata %>% cor_mat()
cor.mat
# Collapse the correlation matrix into long format
# paired list data frame
long.format <- cor.mat %>% cor_gather()
long.format
# Spread a correlation data format
#::::::::::::::::::::::::::::::::::::::::::
# Spread the correlation coefficient value
long.format %>% cor_spread(value = "cor")
# Spread the p-value
long.format %>% cor_spread(value = "p")
# }
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