| Name : R-DataSum
| |
| Version : 0.1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.1
| Date : 2024-09-10 03:12:43
|
| Group : Development/Libraries/Other
| Source RPM : R-DataSum-0.1.0-lp153.1.1.src.rpm
|
| Size : 0.02 MB
| |
| Packager : (none)
| |
| Summary : Comprehensive Data Summarization for Statistical Analysis
|
Description :
Summarizing data frames by calculating various statistical measures,
including measures of central tendency, dispersion, skewness(),
kurtosis(), and normality tests. The package leverages the \'moments\'
package for calculating statistical moments and related measures, the
\'dplyr\' package for data manipulation, and the \'nortest\' package for
normality testing. \'DataSum\' includes functions such as getmode() for
finding the mode(s) of a data vector, shapiro_normality_test() for
performing the Shapiro-Wilk test (Shapiro & Wilk 1965
< doi:10.1093/biomet/52.3-4.591>) (or the Anderson-Darling test when the
data length is outside the valid range for the Shapiro-Wilk test)
(Stephens 1974 < doi:10.1080/01621459.1974.10480196>), Datum() for
generating a comprehensive summary of a data vector with various
statistics (including data type, sample size, mean, mode, median,
variance, standard deviation, maximum, minimum, range, skewness(),
kurtosis(), and normality test result) (Joanes & Gill 1998
< doi:10.1111/1467-9884.00122>), and DataSumm() for applying the Datum()
function to each column of a data frame. Emphasizing the importance of
normality testing, the package provides robust tools to validate
whether data follows a normal distribution, a fundamental assumption in
many statistical analyses and models.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
