Package: gds 0.1.1
Partha Sarathi Bishnu
gds: Descriptive Statistics of Grouped Data
Contains a function called gds() which accepts three input parameters like lower limits, upper limits and the frequencies of the corresponding classes. The gds() function calculate and return the values of mean ('gmean'), median ('gmedian'), mode ('gmode'), variance ('gvar'), standard deviation ('gstdev'), coefficient of variance ('gcv'), quartiles ('gq1', 'gq2', 'gq3'), inter-quartile range ('gIQR'), skewness ('g1'), and kurtosis ('g2') which facilitate effective data analysis. For skewness and kurtosis calculations we use moments.
Authors:
gds_0.1.1.tar.gz
gds_0.1.1.tar.gz(r-4.5-noble)gds_0.1.1.tar.gz(r-4.4-noble)
gds_0.1.1.tgz(r-4.4-emscripten)gds_0.1.1.tgz(r-4.3-emscripten)
gds.pdf |gds.html✨
gds/json (API)
# Install 'gds' in R: |
install.packages('gds', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:fe8d1b5ece. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 31 2024 |
R-4.5-linux | OK | Oct 31 2024 |
Exports:gds
Dependencies: