R: Fixing Data Made Easy for Statistical Analysis

# Fixing Data Made Easy for Statistical Analysis

## Documentation for package ‘fixr’ version 0.2.0

- DESCRIPTION file
- Package NEWS

## Help Pages

check_data_consistency | Check Data Consistency Between Two Data Frames
check_data_distribution | Check the data distribution of a data frame
check_data_quality | Check Data Quality
check_data_reliability | Check inter-rater or test-retest reliability between numeric columns
check_data_structure | Check the structure of the data
check_for_negative_values | Check if a data frame contains negative values.
check_missing_values | Check for Missing Values in Data Frame
check_outliers | Check for Outliers or Extreme Values in Data
check_sample_size | Check if sample size is adequate
find.packages | Find R packages that can import a file format
find.packages_path | Find the R Packages to Import a File Format
find_duplicate_rows | Find duplicate rows in a data frame
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_column_names | Fix Column Names
fix_col_spaces | Replace spaces in column names with underscores
fix_data_names | Fix row and column names of a data frame
fix_duplicate_cols | Remove duplicate columns from a data frame
fix_duplicate_rows | Remove duplicate rows from a data frame
fix_missing_alphanumeric_values | Fill missing values in alphanumeric columns
fix_missing_numeric_values | fill_missing_numeric_values
fix_outliers | Remove Outliers from a Data Frame
fix_row_names | Fix row names of a data frame
fix_row_spaces | Replace spaces in row names with underscores
fix_special_characters_in_data | Remove Non-Alphanumeric Characters from Data Frame
fix_special_characters_in_names | Remove Special Characters from Data Frame Column and Row Names