TDAGroupMean: Estimate the arithmetic mean of grouped data

In mrdwab/TDAtools: A collection of functions written for students at the Tata-Dhan Academy

Description

This is essentially weighted.mean for a data.frame representing grouped data.

Usage

  TDAGroupMean(inDF)

Arguments

inDF	The input data.frame. This data.frame must include the following as the first three columns (see Examples): The lower boundaries of the class The upper boundaries of the class The frequency for that class

Note

It is also possible to call this function directly on the stored output of the TDAFreq function, though it would make more sense to calculate the simple arithmetic mean from the raw data if that is available

Author(s)

Ananda Mahto

See Also

weighted.mean, mean, TDAFreq, TDAGroupMedian

Examples

## Your input data.frame should look like this

MyGroupedDF <- data.frame(
ClassLow = c(0, 50, 100, 150, 200, 250, 300, 350, 400, 450),
ClassHigh = c(50, 100, 150, 200, 250, 300, 350, 400, 450, 500),
Freq = c(78, 123, 187, 82, 51, 47, 13, 9, 6, 4))
MyGroupedDF
TDAGroupMean(MyGroupedDF)

set.seed(1)
x <- sample(300, 100, replace = TRUE)
mean(x)
temp <- TDAFreq(x, 10)

## Now, imagine that we have deleted x, but still want the mean
##   Not exactly the same, but very close...
TDAGroupMean(temp)

mrdwab/TDAtools documentation built on May 23, 2019, 7:15 a.m.