| Type: | Package |
| Title: | Comprehensive Data Summarization for Statistical Analysis |
| Version: | 0.1.0 |
| 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. |
| License: | GPL-3 |
| Encoding: | UTF-8 |
| RoxygenNote: | 7.3.2 |
| Imports: | moments, dplyr, nortest, stats |
| URL: | https://github.com/Uzairkhan11w/DataSum |
| BugReports: | https://github.com/Uzairkhan11w/DataSum/issues |
| NeedsCompilation: | no |
| Packaged: | 2024-08-24 12:30:19 UTC; Uzair |
| Author: | Immad Ahmad Shah [aut], Uzair Javid Khan [aut, cre], Sukhdev Mishra [aut] |
| Maintainer: | Uzair Javid Khan <uzairkhan11w@gmail.com> |
| Repository: | CRAN |
| Date/Publication: | 2024-08-28 08:50:06 UTC |
Summarize an Entire Data Frame
Description
This function summarizes each column of a data frame by calculating various statistics.
Usage
DataSumm(data)
Arguments
data |
A data frame. |
Value
A data frame with summary statistics for each column.
Examples
DataSumm(iris)
Summarize a Single Vector
Description
This function summarizes a single vector by calculating various statistics.
Usage
Datum(data)
Arguments
data |
A numeric, character, or factor vector. |
Value
A data frame with summary statistics.
Examples
Datum(rnorm(100))
Get Mode of a Numeric Vector
Description
This function calculates the mode of a numeric vector.
Usage
getmode(data)
Arguments
data |
A numeric vector. |
Value
The mode of the numeric vector.
Examples
getmode(c(1, 2, 2, 3, 4))
Perform Normality Test
Description
This function performs the Shapiro-Wilk test if the sample size is between 3 and 5000. Otherwise, it performs the Anderson-Darling test.
Usage
shapiro_normality_test(data)
Arguments
data |
A numeric vector. |
Value
A character string indicating whether the data is "Normal" or "Not Normal".
Examples
shapiro_normality_test(rnorm(100))