| Title: | Precomputed Dataset Collection Used in 'exams.forge' |
|---|---|
| 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. |
| Authors: | Sigbert Klinke [aut, cre] |
| Maintainer: | Sigbert Klinke <[email protected]> |
| License: | GPL-3 |
| Version: | 0.1.0 |
| Built: | 2025-01-11 06:03:10 UTC |
| Source: | https://github.com/sigbertklinke/exams.forge.data |
A data frame with the R function names, LaTeX names, discreteness and package origin of a distribution.
data(distributions)data(distributions)
A data frame with columns r, latex, discret and package
data(distributions) distributionsdata(distributions) distributions
A data frame with the variables and level of measurement type. The names are in German.
data(skalenniveau)data(skalenniveau)
A data frame with columns var, and type.
data(skalenniveau) head(skalenniveau)data(skalenniveau) head(skalenniveau)
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.
data(sos100) data(sos200) data(sos400) data(sos800) data(sos1000) sos200 sos400 sos800 sos1000data(sos100) data(sos200) data(sos400) data(sos800) data(sos1000) sos200 sos400 sos800 sos1000
For each line of a matrix it holds and .
It contains all integer solutions up to k<=10. NA means that this entry is not used.
data(sos100) head(sos100) rowSums(sos100^2, na.rm=TRUE) rowSums(sos100, na.rm=TRUE)data(sos100) head(sos100) rowSums(sos100^2, na.rm=TRUE) rowSums(sos100, na.rm=TRUE)