Description Usage Arguments Details Value Note Examples
View source: R/univariate_plot.R
Generates a descriptive graph for a quantitative variable.
1 2 3 4 5 6 7 8 9 10 | univariate_plot(
data,
x,
bins = 30,
fill = "deepskyblue",
pointcolor = "black",
density = TRUE,
densitycolor = "grey",
alpha = 0.2
)
|
data |
a data frame. |
x |
a variable name (without quotes). |
bins |
number of histogram bins. |
fill |
fill color for the histogram and boxplot. |
pointcolor |
point color for the jitter plot. |
density |
logical. Plot a filled density curve over the the histogram. (default=TRUE) |
densitycolor |
fill color for density curve. |
alpha |
Alpha transparency (0-1) for the density curve and jittered points. |
univariate_plot
generates a plot containing three graphs:
a histogram (with an optional density curve), a horizontal
jittered point plot, and a horizontal box plot. The subtitle
contains descriptive statistics, including the mean, standard
deviation, median, minimum, maximum, and skew.
a ggplot2 graph
The graphs are created with ggplot2 and then assembled into a single plot through the patchwork package. Missing values are deleted.
1 2 3 4 5 | univariate_plot(mtcars, mpg)
univariate_plot(cardata, city_mpg, fill="lightsteelblue",
pointcolor="lightsteelblue", densitycolor="lightpink",
alpha=.6)
univariate_plot(amazon, number, density=FALSE, bins=100, alpha=.02)
|
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