Package: quantification 0.2.0
quantification: Quantification of Qualitative Survey Data
Provides different functions for quantifying qualitative survey data. It supports the Carlson-Parkin method, the regression approach, the balance approach and the conditional expectations method.
Authors:
quantification_0.2.0.tar.gz
quantification_0.2.0.zip(r-4.5)quantification_0.2.0.zip(r-4.4)quantification_0.2.0.zip(r-4.3)
quantification_0.2.0.tgz(r-4.4-any)quantification_0.2.0.tgz(r-4.3-any)
quantification_0.2.0.tar.gz(r-4.5-noble)quantification_0.2.0.tar.gz(r-4.4-noble)
quantification_0.2.0.tgz(r-4.4-emscripten)quantification_0.2.0.tgz(r-4.3-emscripten)
quantification.pdf |quantification.html✨
quantification/json (API)
# Install 'quantification' in R: |
install.packages('quantification', repos = c('https://jsugarelli.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jsugarelli/quantification/issues
carlson-parkinquantificationsurveysurvey-analysissurvey-data
Last updated 6 years agofrom:2cdf8ba912. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 29 2024 |
R-4.5-win | OK | Oct 29 2024 |
R-4.5-linux | OK | Oct 29 2024 |
R-4.4-win | OK | Oct 29 2024 |
R-4.4-mac | OK | Oct 29 2024 |
R-4.3-win | OK | Oct 29 2024 |
R-4.3-mac | OK | Oct 29 2024 |
Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecowplotcpp11DerivdoBydplyrfansifarverFormulagenericsggplot2gluegtableisobandlabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquantregR6RColorBrewerRcppRcppEigenrlangscalesSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Quantification of qualitative survey data | quantification-package quantification |
The balance approach | bal |
Conditional Expectations method | ce |
Carlson-Parkin method | cp |
Regression approach | ra |