dlookr (version 0.5.0)

plot_qq_numeric: Plot Q-Q plot of numerical variables

Description

The plot_qq_numeric() to visualizes the Q-Q plot of numeric data or relationship to specific categorical data.

Usage

plot_qq_numeric(.data, ...)
# S3 method for data.frame
plot_qq_numeric(
  .data,
  ...,
  col_point = "steelblue",
  col_line = "black",
  title = "Q-Q plot by numerical variables",
  each = FALSE,
  typographic = TRUE
)
# S3 method for grouped_df
plot_qq_numeric(
  .data,
  ...,
  col_point = "steelblue",
  col_line = "black",
  title = "Q-Q plot by numerical variables",
  each = FALSE,
  typographic = TRUE
)

Arguments

.data

data.frame or a tbl_df or a grouped_df.

…

one or more unquoted expressions separated by commas. You can treat variable names like they are positions. Positive values select variables; negative values to drop variables. If the first expression is negative, plot_qq_numeric() will automatically start with all variables. These arguments are automatically quoted and evaluated in a context where column names represent column positions. They support unquoting and splicing.

col_point

character. a color of points in Q-Q plot.

col_line

character. a color of line in Q-Q plot.

title

character. a main title for the plot.

each

logical. Specifies whether to draw multiple plots on one screen. The default is FALSE, which draws multiple plots on one screen.

typographic

logical. Whether to apply focuses on typographic elements to ggplot2 visualization. The default is TRUE. if TRUE provides a base theme that focuses on typographic elements using hrbrthemes package.

Details

The The Q-Q plot helps determine whether the distribution of a numeric variable is normally distributed. plot_qq_numeric() shows Q-Q plots of several numeric variables on one screen. This function can also display a Q-Q plot for each level of a specific categorical variable.

Examples

# NOT RUN {
# Visualization of all numerical variables
# plot_qq_numeric(heartfailure)

# Select the variable to diagnose
# plot_qq_numeric(heartfailure, "age", "time")
plot_qq_numeric(heartfailure, -age, -time)

# Not allow the typographic elements
# plot_qq_numeric(heartfailure, "age", typographic = FALSE)

# Using pipes ---------------------------------
library(dplyr)

# Plot of all numerical variables
# heartfailure %>%
#   plot_qq_numeric()

# Using groupd_df  ------------------------------
heartfailure %>% 
  group_by(smoking) %>% 
  plot_qq_numeric()

#heartfailure %>% 
#   group_by(smoking) %>% 
#   plot_qq_numeric(each = TRUE)  

# }