nanny: high-level data analysis and manipulations in tidyverse style

General
,
1

I would like to communicate to the community that is now available a new package for high-level data analysis and manipulations in tidyverse style

Functions/utilities available

Function Description
reduce_dimensions Perform dimensionality reduction (PCA, MDS, tSNE)
rotate_dimensions Rotate two dimensions of a degree
cluster_elements Labels elements with cluster identity
remove_redundancy Filter out elements with highly correlated features
fill_missing Fill values of missing element/feature pairs
impute_missing Impute values of missing element/feature pairs
permute_nest From one column build a two permuted columns with nested information
combine_nest From one column build a two combination columns with nested information
keep_variable Keep top variable features
lower_triangular keep rows corresponding to a lower triangular matrix
Utilities Description
as_matrix Robustly convert a tibble to matrix
subset Select columns with information relative to a column of interest

Minimal input data frame

element feature value
chr or fctr chr or fctr numeric

Output data frame

element feature value new information
chr or fctr chr or fctr numeric …
2 Likes
2

This topic was automatically closed 21 days after the last reply. New replies are no longer allowed.