eHDPrep1.3.4 package

Apply quality control measures to a dataset

Assess completeness of a dataset

Assess quality of a dataset

Assume variable classes in data

Kable logical data highlighting

Compare Completeness between Datasets

Information Content Comparison Plot

Information Content Comparison Table

Completeness Heatmap

Compare unique values before and after data modification

Calculate mutual information of a matrix of discrete values

Find highly distant value for data frame

Convert edge table to tidygraph graph

'eHDPrep': Quality Control and Semantic Enrichment of Datasets

Convert data frame to numeric matrix

Encode a categorical vector with binary categories

Encode categorical variables as binary factors

Encode categorical variables using one-hot encoding.

Encode a genotype/SNP vector

Encode genotype/SNP variables in data frame

Encode ordinal variables

Calculate Entropy of a Vector

Exact kernel density estimation

Export data to delimited file

Extract information from free text

Geometric mean

Identify inconsistencies in a dataset

Import data into 'R'

Import corrected variable classes

Calculate Information Content (Continuous Variable)

Calculate Information Content (Discrete Variable)

Join Mapping Table to Ontology Network Graph

Find maximum of vector safely

Find mean of vector safely

Merge columns in data frame

Aggregate Data by Metavariable

Compute Metavariable Information

Extract metavariables' descendant variables

Calculate Mutual Information Content

Find minimum of vector safely

Data modification tracking

Calculate Node Information Content (Zhou et al 2008 method)

Min max normalization

Replace numeric values in numeric columns with NA

One hot encode a vector

Extract labels and levels of ordinal variables in a dataset

Plot Completeness of a Dataset

Find product of vector safely

Track changes to dataset variables

Review Quality Control

Calculate Row Completeness in a Data Frame

Semantic enrichment

Append Skipgram Presence Variables to Dataset

Report Skipgram Frequency

Identify Neighbouring Words (Skipgrams) in a free-text vector

Replace values in non-numeric columns with NA

Sum vector safely for semantic enrichment

Validate internal consistency table

Validate mapping table for semantic enrichment

Validate ontology network for semantic enrichment

Calculate Variable Completeness in a Data Frame

Calculate Entropy of Each Variable in Data Frame

Variable bandwidth Kernel Density Estimation

Missing dots warning

Identify variables with zero entropy