Type:	Package
Title:	Precomputed Dataset Collection Used in 'exams.forge'
Version:	0.1.0
Description:	The dataset collection supports Pearson correlation and linear regression analysis, with datasets for n=100,200,400,800,1000, where n is the sum of squared values in x. Each dataset has x values summing to zero, with sample sizes (observations in x) ranging from 2 to 10. Additional data frames include variables with German names and measurement levels, and distribution details with R function names, LaTeX names, discreteness, and package origins.
License:	GPL-3
Encoding:	UTF-8
LazyData:	true
RoxygenNote:	7.3.2
Depends:	R (≥ 3.5)
NeedsCompilation:	no
Packaged:	2025-01-09 14:44:00 UTC; sigbert
Author:	Sigbert Klinke [aut, cre]
Maintainer:	Sigbert Klinke <sigbert@hu-berlin.de>
Repository:	CRAN
Date/Publication:	2025-01-10 14:40:06 UTC

Distributions

Description

A data frame with the R function names, LaTeX names, discreteness and package origin of a distribution.

Usage

data(distributions)

Format

A data frame with columns r, latex, discret and package

Examples

data(distributions)
distributions

Skalenniveau

Description

A data frame with the variables and level of measurement type. The names are in German.

Usage

data(skalenniveau)

Format

A data frame with columns var, and type.

Examples

data(skalenniveau)
head(skalenniveau)

Precomputed Sum of Squared Data

Description

Five data matrices with precomputed results from sumofsquares(n, 10, zerosum=TRUE, maxt=Inf) for n=100, n=200, n=400,n=800, and n=1000.

Usage

data(sos100)
data(sos200)
data(sos400)
data(sos800)
data(sos1000)

sos200

sos400

sos800

sos1000

Format

For each line of a matrix it holds \sum_{i=1}^k x_i^2=n and \sum_{i=1}^k x_i=0. It contains all integer solutions up to k<=10. NA means that this entry is not used.

Examples

data(sos100)
head(sos100)
rowSums(sos100^2, na.rm=TRUE)
rowSums(sos100, na.rm=TRUE)