Learn R Programming

statsExpressions (version 0.6.0)

expr_corr_test: Making expression for correlation analysis

Description

Making expression for correlation analysis

Usage

expr_corr_test(
  data,
  x,
  y,
  k = 2L,
  conf.level = 0.95,
  beta = 0.1,
  type = "parametric",
  bf.prior = 0.707,
  output = "expression",
  ...
)

Arguments

data

A dataframe (or a tibble) from which variables specified are to be taken. A matrix or tables will not be accepted.

x

The column in data containing the explanatory variable to be plotted on the x-axis. Can be entered either as a character string (e.g., "x") or as a bare expression (e.g, x).

y

The column in data containing the response (outcome) variable to be plotted on the y-axis. Can be entered either as a character string (e.g., "y") or as a bare expression (e.g, y).

k

Number of digits after decimal point (should be an integer) (Default: k = 2L).

conf.level

Scalar between 0 and 1. If unspecified, the defaults return 95% confidence/credible intervals (0.95).

beta

bending constant (Default: 0.1). For more, see WRS2::pbcor().

type

Type of association between paired samples required (""parametric": Pearson's product moment correlation coefficient" or ""nonparametric": Spearman's rho" or ""robust": percentage bend correlation coefficient" or ""bayes": Bayes Factor for Pearson's r"). Corresponding abbreviations are also accepted: "p" (for parametric/pearson), "np" (nonparametric/spearman), "r" (robust), "bf" (for bayes factor), resp.

bf.prior

A number between 0.5 and 2 (default 0.707), the prior width to use in calculating Bayes factors.

output

If "expression", will return expression with statistical details, while "dataframe" will return a dataframe containing the results.

...

Arguments passed on to bf_extractor

conf.level

Confidence/Credible Interval (CI) level. Default to 0.95 (95%).

centrality

The point-estimates (centrality indices) to compute. Character (vector) or list with one or more of these options: "median", "mean", "MAP" or "all".

conf.method

The type of index used for Credible Interval. Can be "hdi" (default, see bayestestR::hdi()), "eti" (see bayestestR::eti()) or "si" (see bayestestR::si()).

k

Number of digits after decimal point (should be an integer) (Default: k = 2L).

top.text

Text to display as top.text (will be displayed on top of the Bayes Factor top.text/message).

output

If "expression", will return expression with statistical details, while "dataframe" will return a dataframe containing the results.

Value

Expression containing results from correlation test with confidence intervals for the correlation coefficient estimate. Results are extracted via correlation::correlation.

References

For more details, see- https://indrajeetpatil.github.io/statsExpressions/articles/stats_details.html

Examples

Run this code
# NOT RUN {
# for reproducibility
set.seed(123)
library(statsExpressions)

# without changing defaults
expr_corr_test(
  data = ggplot2::midwest,
  x = area,
  y = percblack,
  type = "parametric"
)

# changing defaults
expr_corr_test(
  data = ggplot2::midwest,
  x = area,
  y = percblack,
  beta = 0.2,
  type = "robust"
)
# }

Run the code above in your browser using DataLab