R: Methods for Image-Based Cell Profiling

# Methods for Image-Based Cell Profiling

## Documentation for package ‘cytominer’ version 0.2.2

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

aggregate | Aggregate data based on given grouping.
correlation_threshold | Remove redundant variables.
count_na_rows | Count the number of 'NA's per variable.
covariance | Compute covariance matrix and vectorize.
drop_na_columns | Remove variables with NA values.
drop_na_rows | Drop rows that are 'NA' in all specified variables.
extract_subpopulations | Extract subpopulations.
generalized_log | Generalized log transform data.
generate_component_matrix | A sparse matrix for sparse random projection.
normalize | Normalize observation variables.
replicate_correlation | Measure replicate correlation of variables.
sparse_random_projection | Reduce the dimensionality of a population using sparse random projection.
svd_entropy | Feature importance based on data entropy.
transform | Transform observation variables.
variable_importance | Measure variable importance.
variable_select | Select observation variables.
variance_threshold | Remove variables with near-zero variance.
whiten | Whiten data.