esci (version 1.0.7)

overview: Calculates descriptive statistics for a continuous variable

Description

This function calculates basic descriptive statistics for a numerical variable. It can calculate an overall summary, or broken down by the levels of a grouping variable. Inputs can be summary data, vectors, or a data frame.

Usage

overview(
  data = NULL,
  outcome_variable = NULL,
  grouping_variable = NULL,
  means = NULL,
  sds = NULL,
  ns = NULL,
  grouping_variable_levels = NULL,
  outcome_variable_name = "My Outcome Variable",
  grouping_variable_name = NULL,
  conf_level = 0.95,
  assume_equal_variance = FALSE
)

Value

Returns a table of descriptive statistics

• overview

  • outcome_variable_name -

  • grouping_variable_name -

  • grouping_variable_level -

  • mean -

  • mean_LL -

  • mean_UL -

  • median -

  • median_LL -

  • median_UL -

  • sd -

  • min -

  • max -

  • q1 -

  • q3 -

  • n -

  • missing -

  • df -

  • mean_SE -

  • median_SE -

Arguments

data

• for raw data, a data frame or tibble

outcome_variable

• for raw data, either a vector containing numerical data or the name of a data-frame column containing a factor

grouping_variable

• optional; for raw data either a vector containing a factor or the name of a data frame column containing a factor

means

For summary data - A vector of 1 or more numerical means

sds

For summary data - A vector of standard deviations, same length as means

ns

For summary data - A vector of sample sizes, same length as means

grouping_variable_levels

For summary data - An optional vector of group labels, same length as means. If not passed, auto-generated.

outcome_variable_name

Optional friendly name for the outcome variable. Defaults to 'My Outcome Variable'. Ignored if a data-frame is passed, this argument is ignored.

grouping_variable_name

Optional friendly name for the grouping variable. If a data frame is passed, this argument is ignored.

conf_level

The confidence level for the confidence interval. Given in decimal form. Defaults to 0.95.

assume_equal_variance

Defaults to FALSE

Details

If equal variance is not assumed, each group is treated independently. In that case, the estimated mean, CI, and SE is from statpsych::ci.mean1(), and the estimated median, CI, and SE is from statpsych::ci.median1(). If equal variance is assumed, each group CI is calculated as with respect to all group data, using statpsych::ci.lc.mean.bs() and statpsych::ci.lc.median.bs()

Examples

# example code
esci::overview(data_latimier_3groups, "Test%", "Group")