R Dataset / Package HSAUR / GHQ

How To Create a Barplot

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How To Create a Stacked Barplot

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How To Create a Pie Chart

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How To Compute the Mean

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How To Create a Plot

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How to Compute the Median

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Numerical

Boxplot

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Correlation Coefficient

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Cumulative Frequency Histogram

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Dotplot

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Hollow Histogram

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Numerical Summaries

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Pie Chart

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Plot

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Ratio

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Regression

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Stem and Leaf Plots

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Visual Summaries

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Submitted by pmagunia on March 9, 2018 - 1:06 PM
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Attachment Size
dataset-34466.csv 347 bytes
Dataset License
GNU General Public License v2.0
Documentation License
GNU General Public License v2.0
Documentation

On this Picostat.com statistics page, you will find information about the GHQ data set which pertains to General Health Questionnaire . The GHQ data set is found in the HSAUR R package. Try to load the GHQ data set in R by issuing the following command at the console data("GHQ"). This may load the data into a variable called GHQ. If R says the GHQ data set is not found, you can try installing the package by issuing this command install.packages("HSAUR") and then attempt to reload the data with library("HSAUR") followed by data("GHQ"). Perhaps strangley, if R gives you no output after entering a command, it means the command succeeded. If it succeeded you can see the data by typing GHQ at the command-line which should display the entire dataset.

If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the GHQ R data set. The size of this file is about 347 bytes.


General Health Questionnaire

Description

Data from an psychiatric screening questionnaire

Usage

data("GHQ")

Format

A data frame with 22 observations on the following 4 variables.

GHQ

the General Health Questionnaire score.

sex

a factor with levels female and male

cases

the number of diseased subjects.

non.cases

the number of healthy subjects.

Details

The data arise from a study of a psychiatric screening questionnaire called the GHQ (General Health Questionnaire, see Goldberg, 1972). Here the main question of interest is to see how caseness is related to gender and GHQ score.

Source

D. Goldberg (1972). The Detection of Psychiatric Illness by Questionnaire, Oxford University Press, Oxford, UK.

Examples

  data("GHQ", package = "HSAUR")
  male <- subset(GHQ, sex == "male")
  female <- subset(GHQ, sex == "female")
  layout(matrix(1:2, ncol = 2))
  barplot(t(as.matrix(male[,c("cases", "non.cases")])), main = "Male", xlab = "GHC score")
  barplot(t(as.matrix(male[,c("cases", "non.cases")])), main = "Female", xlab = "GHC score")
--

Dataset imported from https://www.r-project.org.
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