means: =============================================================...

In feranpre/udaicR: Basic functions that I use all the time

============================================================= TO BE REMOVED: this is here just for compatibility =============================================================

Description

Title means

Usage

means(
  df,
  ...,
  group_by_col = NULL,
  decimales = 2,
  show_warnings = TRUE,
  show_errors = FALSE,
  n = TRUE,
  missing = TRUE,
  min = TRUE,
  max = TRUE,
  mean = TRUE,
  sd = TRUE,
  median = TRUE,
  range = TRUE,
  norm.test = TRUE,
  col_names = c("var", "groups", "n.valid", "n.missing", "min", "max", "mean", "sd",
    "median", "range", "shapiro-wilk"),
  lang = "en",
  DEBUG = FALSE,
  show.help = FALSE
)

Arguments

df	data
...	any number of numerical variables
group_by_col	variable to group the others by
decimales	number of decimal to show
show_warnings	show warnings
show_errors	show errors
n	show n (without missing values)
missing	show number of missing values
min	show min value (or NA)
max	show max value (or NA)
mean	show mean value
sd	show standard deviation
median	show median
range	show range
norm.test	perform Shapiro-Wilks test and show p.value
col_names	column names for all columns (must set all or none)

Details

My own spin on the mean function, working as I like it

Value

data.frame with the corresponding stats

Examples

## Not run: 

data_ <- data.frame(AGE=sample(x = 65:100, size=30, replace = TRUE ),
                    HEIGHT=sample(x = 120:205, size=30, replace = TRUE ),
                    SEX=sample(x = c("Male", "Female"), prob = c(.5,.5), size = 30, replace = TRUE),
                    BLOND=sample(x = c("Yes", "No"), prob = c(.2,.8), size = 30, replace = TRUE)
)
data_ <- rbind(data_, list(NA,NA,NA,NA))
data_ <- rbind(data_, list(NA,NA,"Male",NA))
data_ <- rbind(data_, list(NA,NA,NA,"No"))

means(data_, AGE)

means(data_, AGE,HEIGHT)

mean(data_, AGE, group_by_col=SEX)


## End(Not run)

feranpre/udaicR documentation built on July 15, 2022, 12:54 p.m.