High-Level Data Analysis and Manipulation in 'tidyverse' Style


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Documentation for package ‘nanny’ version 0.1.8

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as_matrix Get matrix from tibble
as_matrix-method Get matrix from tibble
cluster_elements Get clusters of elements (e.g., elements or features)
cluster_elements-method Get clusters of elements (e.g., elements or features)
combine_nest Combine columns and nest data for each permutation
combine_nest-method Combine columns and nest data for each permutation
fill_missing Fill feature value if missing from element-feature pairs
fill_missing-method Fill feature value if missing from element-feature pairs
impute_missing Impute feature value if missing from element-feature pairs
impute_missing-method Impute feature value if missing from element-feature pairs
keep_variable Keep top variable features across elements
keep_variable-method Keep top variable features across elements
lower_triangular Keep rows corresponding of a lower triangular matrix built from two columns
lower_triangular-method Keep rows corresponding of a lower triangular matrix built from two columns
nest_subset Nest according to selected-column-wise information
nest_subset-method Nest according to selected-column-wise information
nest_subset-method nest_subset
permute_nest Permute columns and nest data for each permutation
permute_nest-method Permute columns and nest data for each permutation
reduce_dimensions Dimension reduction of the feature value data
reduce_dimensions-method Dimension reduction of the feature value data
remove_redundancy Drop redundant elements (e.g., elements) for which feature (e.g., feature/gene) aboundances are correlated
remove_redundancy-method Drop redundant elements (e.g., elements) for which feature (e.g., feature/gene) aboundances are correlated
rotate_dimensions Rotate two dimensions (e.g., principal components) of an arbitrary angle
rotate_dimensions-method Rotate two dimensions (e.g., principal components) of an arbitrary angle
subset Extract selected-column-wise information
subset-method Extract selected-column-wise information