All functions
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append_time()
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Append timestamp to a filepath |
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averageProximity()
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Compute average proximity matrix on a dataset using randomForest |
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condense()
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Sample points based on distance matrix |
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cor2()
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cor2: Compute correlations of columns of a dataframe of mixed types |
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count_na()
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count_na |
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count_pattern()
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count_pattern |
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counts()
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Obtain counts of an atomic vector as a named integer vector. |
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cutq()
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cutq |
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decode()
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decode base64 encoded object as a list |
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decodeCharColumns()
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Decode character columns. |
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decodeListColumns()
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Decode the encoded list-columns in a dataframe using 'encodeListColumns' function |
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dir_apply()
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dir_apply: lapply kind of behaviour on files of a directory |
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dist_pca()
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Distance matrix with inter feature(variable) distances based on PCA |
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downsample_majority()
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Downsample majority class to the size of minority class |
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dr_measure()
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A measure of kNN of original and dimension reduced data |
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encode()
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encode a list with base64 encoding at first depth |
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encodeCharColumns()
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Encode character columns. |
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encodeListColumns()
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Encode list-columns in a dataframe as character using base64 encoding |
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freq()
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Obtain frequencies of an atomic vector as proportions. |
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image2()
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ggplot2 based alternative for R's 'image' |
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int_approx()
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int_approx |
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is_vector()
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is_vector |
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jaccard_m()
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jaccard_m |
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kde2d_tidy()
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Convert the output of MASS::kde2d output into long format. |
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loc()
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classwise local outliers |
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mem_cur()
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current memory usage |
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mem_max()
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maximum memory usage |
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na_approx()
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Linear interpolation of a vector |
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outlier_hdbscan()
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Detect outliers from hdbscan for large data |
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pcaPlot()
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Plot a few principal components |
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peakmem()
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Compute peak memory used by a R script |
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percent_change()
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percent_change |
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predict(<regressionCorrector>)
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Predict method for regressionCorrector class |
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predict(<scaler>)
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Scale a dataset using scaler model |
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print(<regressionCorrector>)
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Print method for regressionCorrector class |
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prop_na()
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prop_na |
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regression_corrector()
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Adds a quick layer of flexible univariate regression to fit any
regression model to reduce bias. |
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remove_duplicate_rows()
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Remove duplicate rows considering all or a few columns |
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replace_na()
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replace_na |
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rm_na()
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rm_na |
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rotate()
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rotate |
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sample_frac_matrix()
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dplyr like sample_frac for a matrix |
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sample_n_matrix()
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dplyr like sample_n for a matrix |
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scaler()
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Create scaler model |
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scaler_()
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Constructor for scaler class |
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sidekicks-package
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sidekicks |
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sum_to()
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sum_to |
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toString_to_character()
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Split a long delimted string into individual strings. |
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toString_to_characterString()
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Split a long delimted string into individual strings and use then to construct a character vector. |
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unique_fraction()
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unique_fraction |
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upsample_minority()
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Upsample minority class to the size of majority class |
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vector_to_tibble()
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vector_to_tibble |