| 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)