View descriptive statistics via plot

Applies descdata to the selected columns and produces a plot showing the descriptive statistics. The plot is generated using ggplot2 and a suitable melt function.

Usage

descplot(data, cols = NULL, stats = 1:9, first = "variables",
         ncol = NULL, num_xaxis = "log", verbose = FALSE)

Arguments

data

A data frame containing numeric columns to describe.

cols

Column indices or names of numeric variables. If NULL, all numeric columns are used.

stats

Statistics to plot, as in descdata.

first

Name for the variable identifier column (passed to descdata).

ncol

Number of columns in the facet layout (passed to facet_wrap).

num_xaxis

How to treat numeric column names on the x-axis. Options: "log" (default): if all selected column names are numeric, convert to numeric and use log10 scale; "numeric": convert to numeric but use linear scale; "character", "factor", "keep", or FALSE: keep as character/factor (no conversion).

verbose

Logical; if TRUE, prints timing message.

Details

This function first calls descdata and then melts the result into a long format suitable for ggplot2. If the column names of the original data are numeric, the plot uses a logarithmic x-axis and line geometry; otherwise, a bar plot is produced. The num_xaxis parameter allows overriding the default log transform.

Value

A ggplot object displaying the descriptive statistics.

References

1. Example data is from https://smear.avaa.csc.fi/download. It includes particle number concentrations in SMEAR I Varrio forest. 2. Wickham, H. 2016. ggplot2: elegant graphics for data analysis. Springer-Verlag New York.

Author

Chun-Sheng Liang <chun-shengliang@qq.com>

Examples

descplot(data, cols = 5:65)
#> Warning: Removed 84 rows containing missing values or values outside the scale range
#> (`geom_line()`).

descplot(data, cols = 5:65, stats = c("min","max","IQR"), num_xaxis = "numeric")
#> Warning: Removed 36 rows containing missing values or values outside the scale range
#> (`geom_line()`).