Package index • wranglr

Manipulating data

Functions to manipulate data R objects.

bind_intersect() bind_union(): Vertically Combine Data Frames by Intersect

create_kfold() is.x_split() analysis() assessment() questioning: Create k-Fold Partitioning

distinct_rows(): Select Distinct Rows

feature_matrix(): Select the Feature Matrix

group_labels(): Return Grouping Labels

rearrange(): Rearrange Rows by Variables

rename(<list>): Rename Elements of a List

refactor_data(): Refactor Ghost Level Meta Data

match_samples(): Match Two Data Frames Based on Sample ID

Adding and augmenting

Functions to create summaries and add summary data to objects.

calc_cv(): Calculate CV Decomposition

create_summ_tbl(): Create A Summary Table

Transforming data

Functions to transform data R objects.

imputeNAs(): Impute NAs

impute_outliers(): Impute Outlier Values

impute_predictors(): Impute Predictor Variables

center_scale() is_center_scaled() undo_center_scale(): Center and/or Scale Data

cast_numeric(): Convert Table Entries to Numeric

create_recipe() bake_recipe() is.baked() convert_recipe(): Pre-processing Analysis Data

get_recipe_params(): Get Parameters From A Recipe

scale_features(): Scale/transform Features (variables)

rebalance(): Sampling for Class Imbalances

remove_outliers(): Remove Statistical Outliers

Proteomic annotations

Useful helpers for matching, exploring, and looking up protein annotations based on SeqIds.

get_anno() grep_anno() seq_lookup() seqify(): Protein Annotations

Data

A simulated proteomic data set for data science analyses.

simdata: Simulated Data Object