{ "_id": "6a1eaae1b25058d4daad9af3", "Package": "DataSum", "Type": "Package", "Title": "The DataSumm function takes a data frame as input and applies\nthe Datum function to each column, returning a data frame with\nthe summary statistics for each column", "Version": "0.1.0", "Author": "Mr. Uzair Javid Khan and Dr. Immad Ahmad Shah", "Maintainer": "Mr. Uzair Javid Khan ", "Description": "The moments package provides functions for calculating\nvarious statistical moments and related measures, such as\nskewness and kurtosis. The dplyr package is used for data\nmanipulation, and the nortest package is used for normality\ntesting. The find_mode function takes a data vector as input\nand returns the mode(s) of the data. The shapiro_normality_test\nfunction performs a Shapiro-Wilk normality test on the input\ndata, and returns \"Normal\" if the data is normally distributed\n(p-value > 0.05), and \"Not Normal\" otherwise. If the data\nlength is outside the valid range for the Shapiro-Wilk test (3\nto 5000), it performs an Anderson-Darling normality test\ninstead. The Datum function takes a data vector as input and\nreturns a data frame with various summary statistics, including\ndata type, sample size, mean, mode, median, variance, standard\ndeviation, maximum, minimum, range, skewness, kurtosis, and\nnormality test result. If the data is numeric, it calculates\nthe statistics accordingly. If the data is character or factor,\nit provides the mode and marks the other statistics as not\napplicable (NA).The DataSumm function takes a data frame as\ninput and applies the Datum function to each column, returning\na data frame with the summary statistics for each column.\nMeasures of Central Tendency Mean: The average of the values,\ncalculated by summing all the values and dividing by the number\nof values. Median: The middle value when the data is arranged\nin order. If there are an even number of values, the median is\nthe average of the two middle values. Mode: The value that\nappears most frequently in the data set. Measures of\nDispersion Range: The difference between the largest and\nsmallest values in the data set. Variance: A measure of how\nspread out the values are from the mean, calculated as the\naverage squared deviation from the mean. Standard Deviation:\nThe square root of the variance, providing a measure of the\naverage amount each value deviates from the mean. Other\nMeasures Skewness: A measure of the asymmetry of the\nprobability distribution of a random variable around its mean.\nPositive skewness indicates a distribution with an asymmetric\ntail extending towards more positive values. Kurtosis: A\nmeasure of the \"peakedness\" of the probability distribution of\na random variable. Normality: A test to determine if the data\nfollows a normal (Gaussian) distribution, such as the\nShapiro-Wilk test.", "License": "GPL-3", "Encoding": "UTF-8", "RoxygenNote": "7.3.2", "Repository": "https://uzairkhan11w.r-universe.dev", "Date/Publication": "2024-08-02 12:42:43 UTC", "RemoteUrl": "https://github.com/uzairkhan11w/datasum", "RemoteRef": "HEAD", "RemoteSha": "153606be389b45d8ae7325469214e9076c43f8b0", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-02 10:02:07 UTC", "User": "root" }, "MD5sum": "8d671e1eaa44e5ca11b356c434f108b1", "_user": "uzairkhan11w", "_type": "src", "_file": "DataSum_0.1.0.tar.gz", "_fileid": "19c0d59fb4ebd4220492ce516b71db58719bd442edd352d9a6267b962adf0ed0", "_filesize": 80460, "_sha256": "19c0d59fb4ebd4220492ce516b71db58719bd442edd352d9a6267b962adf0ed0", "_created": "2026-06-02T10:02:07.000Z", "_published": "2026-06-02T10:05:21.313Z", "_distro": "noble", "_jobs": [ { "job": 79046439666, "time": 146, "config": "linux-devel-x86_64", "r": 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