## 2010-08-11

### Converting R contingency tables to data frames

A contingency table presents the joint density of one or more categorical variables. Each entry in a contingency table is a count of the number of times a particular set of factors levels occurs in the dataset. For example, consider a list of plant species where each species is assigned a relative seed size (small, medium, or large) and a growth form (tree, shrub, or herb).

seed.sizes <- c("small", "medium", "large")
growth.forms <- c("tree", "shrub", "herb")
species.traits <- data.frame(
seed.size = seed.sizes[c(1, 1, 1, 1, 1, 2, 2, 2, 2, 3, 3, 3)],
growth.form = growth.forms[c(3, 3, 2, 2, 1, 2, 2, 3, 1, 1, 1, 1)]
)
seed.sizegrowth.form
smallherb
smallherb
smallshrub
smallshrub
smalltree
mediumshrub
mediumshrub
mediumherb
mediumtree
largetree
largetree
largetree

A contingency table will tell us how many times each combination of seeds.sizes and growth.forms occur.

tbl <- table(species.traits)
herbshrubtree
003
121
221

The output contingency table are of class table. The behaviour of these objects is not quite like a data frame. In fact, trying to convert them to a data frame gives a non-intuitive result.

as.data.frame(tbl)
seed.sizegrowth.formFreq
largeherb0
mediumherb1
smallherb2
largeshrub0
mediumshrub2
smallshrub2
largetree3
mediumtree1
smalltree1

Coercion of the table into a data frame puts each factor of the contingency table into its own column along with the frequency, rather than keeping the same structure as original table object. If we wanted to turn the table into a data frame keeping the original structure we use as.data.frame.matrix. This function is not well-documented in R, and this is probably the only situation in which it would be used. But, it works.

as.data.frame.matrix(tbl)
herbshrubtree
003
121
221

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Jesmin said...

thanx,
its awsome and make work loud lighter,,its easy to calculate now with your contingency table

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Great, thanks! (It was hard to find this.)
Try help(as.data.frame.matrix) - well hidden indeed.

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Digital Marketing can be defined as a unique marketing strategy that is implemented in digital platforms through Internet Medium to reach the target audience. When compared to traditional marketing, search analytics gives you an extra edge in Digital Marketing. Analytics empowers the business to analyse the success in their business strategies and provides the required data to modify the strategies to suit the market requirements and improve ROI.

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September 24, 2019 at 12:03 PM
Venkatesh CS said...
September 25, 2019 at 6:07 AM
Lean Six Sigma said...

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October 1, 2019 at 3:36 AM