correlation {CUFF} | R Documentation |
This is a function that creates correlation matrix objects that can be printed with the corresponding N and p-values. It is a wrapper for cor and cor.test.
correlation(x, y = NULL, method = "pearson",
alternative = "two.sided", exact = NULL,
use = "pairwise.complete.obs",
continuity = FALSE, data = NULL)
## S3 method for class 'corr'
print(x, ... , toLatex = FALSE, cutstr = NULL, toMarkdown = FALSE)
x |
x is a matrix/ |
y |
y is a matrix/ |
method |
Method used to compute correlations. |
alternative |
Unilateral ( |
exact |
Logical value to know if a p.value is exact or
asymptotic. See |
use |
Methods to deal with missing values. |
continuity |
Logical value to know if continuity correction
must be used. See |
... |
Unused in this function |
data |
data.frame to use in conjuction with formula |
toLatex |
Logical value to know if output displayed as a latex tabular environment. |
cutstr |
Optional digits that cut the length of variable names |
toMarkdown |
Logical value to know if output should be displayed as a markdown table for report |
Returns a list with correlations, N for each pair of correlations and p.value for each correlations.
Charles-Édouard Giguère
require(CUFF)
X=rnorm(10)
Y=rnorm(10)
correlation(cbind(X,Y))