dataprep (version 0.1.5)

descplot: View the descriptive statistics via plot

Description

It applies to an original (a raw) data and produces a plot to describe the data with 9 statistics including n, na, mean, sd, median, trimmed, min, max, and IQR.

Usage

descplot(data, start = NULL, end = NULL, stats= 1:9, first = "variables")

Arguments

data

A data frame to describe, from the column start to the column end.

start

The column number of the first variable to describe.

end

The column number of the last variable to describe.

stats

Selecting or rearranging the items from the 9 statistics, i.e., n, na, mean, sd, median, trimmed, min, max, and IQR. It can be a vector or a single value, in 'character' or 'numeric' class.

first

The name of the first column of the output. It is the general name of the items (variables).

Value

A plot to show the descriptive result of the data, including:

size

default general name of items (variables). Users can define it via the parameter first.

n

number of valid cases

na

number of invalid cases

mean

mean of each item

sd

standard deviation

median

median of each item

trimmed

trimmed mean (with trim defaulting to .1)

min

minimum of each item

max

maximum of each item

IQR

interquartile range of each item

Details

This function will describe the data first using descdata. Then, A plot to show the result will be produced using the package ggplot2 (coupled with self-defined melt or reshape2::melt to melt the intermediate data). The variables from start to end need to be linked together instead of being scattered.

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. 2007. Reshaping data with the reshape package. Journal of Statistical Software, 21(12):1-20.

3. Wickham, H. 2009. ggplot2: Elegant Graphics for Data Analysis. http://ggplot2.org: Springer-Verlag New York.

4. Wickham, H. 2016. ggplot2: elegant graphics for data analysis. Springer-Verlag New York.

See Also

dataprep::descdata and dataprep::melt

Examples

# NOT RUN {
# Line plots for variable names that are essentially numeric
descplot(data,5,65)
# Use numbers to select statistics
descplot(data,5,65,c(2,7:9))
# Use characters to select statistics
descplot(data,5,65,c('na','min','max','IQR'))

# Bar charts for type of variable names that is character
descplot(data1,3,7)
# Use numbers to select statistics
descplot(data1,3,7,7:9)
# Use characters to select statistics
descplot(data1,3,7,c('min','max','IQR'))
# }