R Dataset / Package HSAUR / BtheB

How To Create a Barplot

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Visual
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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

Submitted by pmagunia on April 22, 2018 - 3:07 PM
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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

Submitted by pmagunia on April 22, 2018 - 3:12 PM

Stem and Leaf Plots

Submitted by pmagunia on April 22, 2018 - 3:12 PM
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Visual Summaries

Submitted by pmagunia on April 22, 2018 - 3:13 PM
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Submitted by pmagunia on March 9, 2018 - 1:06 PM
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Attachment Size
dataset-72268.csv 3.22 KB
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 BtheB data set which pertains to Beat the Blues Data . The BtheB data set is found in the HSAUR R package. Try to load the BtheB data set in R by issuing the following command at the console data("BtheB"). This may load the data into a variable called BtheB. If R says the BtheB 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("BtheB"). 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 BtheB 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 BtheB R data set. The size of this file is about 3,301 bytes.


Beat the Blues Data

Description

Data from a clinical trial of an interactive multimedia program called ‘Beat the Blues’.

Usage

data("BtheB")

Format

A data frame with 100 observations of 100 patients on the following 8 variables.

drug

did the patient take anti-depressant drugs (No or Yes).

length

the length of the current episode of depression, a factor with levels <6m (less than six months) and >6m (more than six months).

treatment

treatment group, a factor with levels TAU (treatment as usual) and BtheB (Beat the Blues)

bdi.pre

Beck Depression Inventory II before treatment.

bdi.2m

Beck Depression Inventory II after two months.

bdi.4m

Beck Depression Inventory II after four months.

bdi.6m

Beck Depression Inventory II after six months.

bdi.8m

Beck Depression Inventory II after eight months.

Details

Longitudinal data from a clinical trial of an interactive, multimedia program known as "Beat the Blues" designed to deliver cognitive behavioural therapy to depressed patients via a computer terminal. Patients with depression recruited in primary care were randomised to either the Beating the Blues program, or to "Treatment as Usual (TAU)".

Note that the data are stored in the wide form, i.e., repeated measurments are represented by additional columns in the data frame.

Source

J. Proudfoot, D. Goldberg and A. Mann (2003). Computerised, interactive, multimedia CBT reduced anxiety and depression in general practice: A RCT. Psychological Medicine, 33, 217–227.

Examples

  data("BtheB", package = "HSAUR")
  layout(matrix(1:2, nrow = 1))   
  ylim <- range(BtheB[,grep("bdi", names(BtheB))], na.rm = TRUE)
  boxplot(subset(BtheB, treatment == "TAU")[,grep("bdi", names(BtheB))],
          main = "Treated as usual", ylab = "BDI", 
          xlab = "Time (in months)", names = c(0, 2, 4, 6, 8), ylim = ylim)
  boxplot(subset(BtheB, treatment == "BtheB")[,grep("bdi", names(BtheB))], 
          main = "Beat the Blues", ylab = "BDI", xlab = "Time (in months)",
          names = c(0, 2, 4, 6, 8), ylim = ylim)
--

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