getBootCICorr: Function to return observed correlation between two variables...

In cpsyctc/CECPfuns: Package of Utility Functions for Psychological Therapies, Mental Health and Well-being Work (Created by Chris Evans and Clara Paz)

Function to return observed correlation between two variables with bootstrap CI

Description

Function to return observed correlation between two variables with bootstrap CI

Usage

getBootCICorr(
  formula1,
  data,
  method = "p",
  bootReps = 1000,
  conf = 0.95,
  bootCImethod = "pe"
)

Arguments

formula1	formula defining the two variables to be correlated as var1 ~ var2
data	data.frame or tibble with the data, often subset of the data created with group_by() and pick()
method	string giving correlation method, can be single letter 'p', 's' or 'k' for pearson, spearman or kendall (in cor())
bootReps	integer giving number of bootstrap replications
conf	numeric value giving width of confidence interval, e.g. .95 (default)
bootCImethod	string giving method to derive bootstrap CI, can be two letters 'pe', 'no', 'ba' or 'bc' for percentile, normal, basic or bca

Value

list of named values: obsCorr, LCLCorr and UCLCorr

History/development log

Started before 5.iv.21

Author(s)

Chris Evans

See Also

Other bootstrap CI functions: getBootCICSC(), getBootCIalpha(), getBootCIgrpMeanDiff(), getBootCImean()

Examples

## Not run: 
library(tidyverse)
### create some data
set.seed(12345) # make this replicable
n <- 150
tibble(x = rnorm(n), y = rnorm(y)) %>%
   ### that's got us sample x and y from population in which they're uncorrelated
   ### make them correlated:
   mutate(y = y + .2 * x)  -> data

data %>%
   ### don't forget to prefix the call with "list(" to tell dplyr
   ### you are creating list output
   summarise(corr = list(getBootCICorr(x ~ y,
             pick(everything()),
             ### pick(everything()) is, to my mind, a rather verbose replacement for cur_data()
             method = "p", # gets the Pearson correlation
             bootReps = 1000,
             ### "pe" in next line gets the percentile bootstrap CI
             bootCImethod = "pe"))) %>%
   ### now unnest the list output to separate columns
   unnest_wider(corr)

## End(Not run)

cpsyctc/CECPfuns documentation built on April 2, 2024, 2:03 a.m.