DescTools (version 0.99.7)

Desc.integer: Describe an integer variable

Description

Describing an integer, means typically count data, is sometimes the same as describing an ordered factor, and somethimes, when there are many levels, it is like describing a numeric value.

Usage

## S3 method for class 'integer':
Desc(x, xname = NULL, maxrows = 12, freq = NULL,
             digits = 3, plotit = FALSE, ...)

Arguments

x

a single integer vector to be described.

xname

the caption for the output.

maxrows

integer. This indicates, up to how many levels the detailed frequencies should be reported. Default is 12. Set maxlevels to NA, if no restriction is to be applied, say the frequency table should contain all existing levels.

freq

logical, indicating if a frequency table should be plotted. Default is NULL, which means a frequency table will be printed, if there are less than 13 unique values. Else there will be a high-low description produced by HighLow.

digits

integer. With how many digits shoud the relative frequencies be formatted? Default is 3.

plotit

boolean. Should a plot be created? The vector would be plotted by means of PlotDesc.numeric, which again basically is PlotFdist. Default is FA

...

further argument to be passed to methods.

Value

• A list containing the following components:
• length
  the length of the vector (n + NAs).
• n
  the valid entries (NAs are excluded)
• NAs
  number of NAs
• unique
  number of unique values.
• 0s
  number of zeros
• mean
  arithmetic mean
• MeanSE
  standard error of the mean, as calculated by MeanSE.
• quant
  a table of quantiles, as calculated by quantile(x, probs = c(.05,.10,.25,.5,.75,.9,.95), na.rm = TRUE).
• sd
  standard deviation
• vcoef
  coefficient of variation: mean(x) / sd(x)
• mad
  median absolute deviation (mad)
• IQR
  interquartile range
• skew
  skewness, as calculated by Skew.
• kurt
  kurtosis, as calculated by Kurt.
• highlow
  the lowest and the highest values, reported with their frequencies in brackets, if > 1.
• frq
  a data.frame of absolute and relative frequencies given by Freq if maxlevels > unique values in the vector.

Details

A horizontal barplot would be suitable as well here.

See Also

Desc.factor

Examples

# default
Desc(d.pizza$count)

# with frequency table
Desc(d.pizza$count, maxlevels=15)

# Result object
res <- Desc(d.pizza$count, maxlevels=15)
res