R Dataset / Package sem / Tests

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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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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Regression

Stem and Leaf Plots

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Visual Summaries

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<iframe src="https://embed.picostat.com/r-dataset-package-sem-tests.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-39909.csv 599 bytes
Dataset License
GNU General Public License v2.0
Documentation License
GNU General Public License v2.0
Dataset Help

On this Picostat.com statistics page, you will find information about the Tests data set which pertains to Six Mental Tests. The Tests data set is found in the sem R package. You can load the Tests data set in R by issuing the following command at the console data("Tests"). This will load the data into a variable called Tests. If R says the Tests data set is not found, you can try installing the package by issuing this command install.packages("sem") and then attempt to reload the data. 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 Tests R data set. The size of this file is about 599 bytes.

Documentation

Six Mental Tests

Description

These data are from the SAS manual and consist of six mental tests for 32 students, with some missing data. The three x variables are intended to load on a verbal factor, and the three y variables on a math factor. The data can be used to illustrate the estimation of a confirmatory factor analysis model by multinormal full-information maximum-likelihood in the presence of missing data.

Usage

Tests

Format

A data frame with 32 observations on the following 6 variables.

x1

score on verbal test 1.

x2

score on verbal test 2.

x3

score on verbal test 3.

y1

score on math test 1.

y2

score on math test 2.

y3

score on math test 3.

Source

Example 25.13 from SAS/STAT 9.22 User's Guide, SAS Institute, 2010.

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

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