ctrx {Conigrave}

Correlatrix

Description

Takes in a dat#'a.frame or imputationList, a vector of variable names and produces a correlation matrix with customizable significance stars.

Usage

ctrx(data, x = NULL, y = NULL, triangle = "both", round = 2,
  method = "pearson", n.matrix = F, abbreviate = 100,
  stars = c(0.05, 0.01, 0.001), partial = c(), describe = F,
  leading.zero = T, ...)

Arguments

data

a data.frame or imputationList.

x

a vector of variable names to correlate (optional).

y

a vector of column names for the creation of asymmetric correlation matrices.

triangle

a string containing one of "lower" "upper" or "both". Indicates if correlations are to be displayed above or below the diagonal. "Both" is selected by default.

round

a numeral indicating number of decimals.

method

a string containing one of "pearson","spearman" or "kendall".

n.matrix

logical. If TRUE, matrix of n returned.

abbreviate

a number indicating the maximum length of variable names.

stars

a numeric vector. For each numeral, a star will be assigned which indicates that the p-value for a given correlation was smaller than, that level. The default is 0.05, 0.01 and 0.001.

partial

a vector of colnames. If supplied the function will output a matrix of partial correlations. All effects will be controlled for by the variables in this vector.

describe

a list of functions with names or a logical. If functions are supplied to describe, a new column will be appended to the final data.frame for each argument in the list. If TRUE is supplied, means and standard deviation is appended with na.rm = T.

leading.zero

a logical. If FALSE, leading zeros are removed.

...

the argument 'var.names' from previous versions has been deprecated, please use x instead.

Value

A data.frame containing a correlation matrix.

Examples

correlatrix(mtcars[,1:5])
library(dplyr)
mtcars %>%
ctrx(x = c("mpg","cyl","disp")
,y = c("wt","drat"),
round = 2,
stars = c(0.05),
describe = list("mean" = function(x) mean(x,na.rm=TRUE)))