SingleSummary: Numeric Summaries

In statsmaths/smodels: Consistent format for fitting models

Description

Summarize a variable through a single numeric summary, such as the mean standard deviation, and sum.

Usage

sm_mean(x, name = NULL)

sm_median(x, name = NULL)

sm_sd(x, name = NULL)

sm_sum(x, name = NULL)

sm_min(x, name = NULL)

sm_max(x, name = NULL)

sm_cor(x, y, name = NULL)

sm_cov(x, y, name = NULL)

sm_var(x, y, name = NULL)

sm_na_count(x, name = NULL)

sm_count(x, name = NULL)

sm_paste(x, name = NULL, sep = "; ")

Arguments

x	the variable to summarize. Will be used deparsed to infer the names of of the summaries.
name	provide a prefix variable name for the output. Set to NULL to infer from the input.
y	secomd variable to summarize, for correlation, covariance, and variance.
sep	string to use to collapse text values with 'sm_paste'

statsmaths/smodels documentation built on Jan. 9, 2021, 1:07 p.m.