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fixr (version 0.2.0)

Fixing Data Made Easy for Statistical Analysis

Description

A set of functions that facilitate basic data manipulation and cleaning for statistical analysis including functions for finding and fixing duplicate rows and columns, missing values, outliers, and special characters in column and row names and functions for checking data consistency, distribution, quality, reliability, and structure.

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Version

Install

install.packages('fixr')

Monthly Downloads

349

Version

0.2.0

License

GPL-3

Issues

0

Pull Requests

0

Stars

1

Forks

0

Maintainer

Ambu Vijayan

Last Published

February 15th, 2025

Functions in fixr (0.2.0)

find_duplicate_rows

Find duplicate rows in a data frame
fix_special_characters_in_data

Remove Non-Alphanumeric Characters from Data Frame
fix_data_names

Fix row and column names of a data frame
fix_missing_numeric_values

fill_missing_numeric_values
fix.data

Fix data frame column and row names and remove symbols and blanks
fix_blanks_with_na

Replace blanks with NA in a data frame
fix_outliers

Remove Outliers from a Data Frame
fix_duplicate_cols

Remove duplicate columns from a data frame
fix_special_characters_in_names

Remove Special Characters from Data Frame Column and Row Names
check_sample_size

Check if sample size is adequate
find.packages

Find R packages that can import a file format
check_data_reliability

Check inter-rater or test-retest reliability between numeric columns
check_data_quality

Check Data Quality
fix_row_names

Fix row names of a data frame
fix_row_spaces

Replace spaces in row names with underscores
check_data_structure

Check the structure of the data
fix_duplicate_rows

Remove duplicate rows from a data frame
check_for_negative_values

Check if a data frame contains negative values.
fix_missing_alphanumeric_values

Fill missing values in alphanumeric columns
check_data_consistency

Check Data Consistency Between Two Data Frames
check_data_distribution

Check the data distribution of a data frame
find.packages_path

Find the R Packages to Import a File Format
check_missing_values

Check for Missing Values in Data Frame
fix_col_spaces

Replace spaces in column names with underscores
fix_column_names

Fix Column Names
check_outliers

Check for Outliers or Extreme Values in Data