summary_stats: Summarizing Variables by their Tendency and Distribution

In kamapu/cropgrowth: Assessing Results from Crop Growth Modelling

Description

Quick displays of tendency and distribution of variables recorded in repetitions may be required for plotting dots with error bars. The function summary_stats() retrieves a data frame with the tendency and spread of values of a variable by one or more factors.

Calculation of tendency and distribution parameters for variables grouped by a combination of factors. This function is applying aggregate() for grouping observations.

In the method 'formula', the terms are expressed as variable ~ factors.

Usage

summary_stats(x, ...)

## S4 method for signature 'formula'
summary_stats(
  x,
  trend = mean,
  spread = sd,
  data,
  trend_args = list(),
  spread_args = list()
)

## S4 method for signature 'character'
summary_stats(
  x,
  factors,
  trend = mean,
  spread = sd,
  data,
  trend_args = list(),
  spread_args = list()
)

Arguments

x	Either a formula or a character vector with the name of variables.
...	Further arguments passed among methods.
trend, spread	The trend and spread functions.
data	A data frame containing the records.
trend_args, spread_args	Lists of further arguments required by the trend and spread functions, respectively.
factors	Character vector indicating categorical variables for grouping the values.

Value

A data frame with one column for the variables, each factor as a column and the values of tendency and dispersion.

See Also

aggregate().

Examples

data(maize_model)

## The formula method
summary_stats(wrt + wst + wglv + wgld + yield ~ treatment, data=maize_model)

kamapu/cropgrowth documentation built on Aug. 22, 2021, 8:55 a.m.