Description Usage Arguments Details Examples
The plot_qq_numeric() to visualizes the Q-Q plot of numeric data or relationship to specific categorical data.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | plot_qq_numeric(.data, ...)
## S3 method for class '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 class 'grouped_df'
plot_qq_numeric(
.data,
...,
col_point = "steelblue",
col_line = "black",
title = "Q-Q plot by numerical variables",
each = FALSE,
typographic = TRUE
)
|
.data |
data.frame or a |
... |
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. |
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.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 | # 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)
|
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