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Automatic barplot of continous variables

Source: R/auto_bar_cont.R
auto_bar_cont.Rd

Generates bar plots of contiuous variables based on numerical variables from a data frame. Internally, the function creates a tibble to summarize the data from each variable.

Usage

auto_bar_cont(
  data,
  groupvar,
  err_bar_show = TRUE,
  err_bar = c("sd", "se"),
  col_args = list(),
  lang_labs = c("EN", "SPA"),
  theme_func = theme_serene
)

Arguments

data

Name of the dataframe

groupvar

Grouping variable

err_bar_show

Logical indicator. Default TRUE show error bars in columns. Default is TRUE

err_bar

Statistic to be shown as error bar. Can be "sd" for standard deviation or "se" for standard error. Defauult is "se".

col_args

Arguments to be passed to geom_col inside the function. Default arguments are:

  • fill="grey"

  • color = "black"

  • alpha = 0.8

lang_labs

Language of the resulting plots. Can be "EN" for english or "SPA" for spanish. Default is "SPA"

theme_func

Theme of the generated plots. Must be the name of the function without parenthesis. Use for example: theme_minimal instead of theme_minimal()

Value

Returns a list containing barplots as ggplot2 objects. Objects can be accessed via $ operator.

Examples

data <- data.frame(group = rep(letters[1:2], 30),
var1 = rnorm(30, mean = 15, sd = 5),
var2 = rnorm(30, mean = 20, sd = 2),
var3 = rnorm(30, mean = 10, sd = 1),
var4 = rnorm(30, mean = 5, sd =2))

data$group<-as.factor(data$group)

# Create a list containing all the plots
barcontplots<-auto_bar_cont(data = data, groupvar = 'group', err_bar = "se", lang_labs = 'EN')

# call to show all storaged plots
barcontplots
#> $var1

#> 
#> $var2

#> 
#> $var3

#> 
#> $var4

#> 

# call to show one individual plots
barcontplots$var1