universe_df: Simple univariate plots, without the plot. Just the...

In DexGroves/universe: Simple Univariate Plotting

Description

Performs all the preprocessing of 'universe', but stops short of calling plotly and returns its data structure. Use with your own plotly methods for greater control.

Usage

universe_df(input_df, plot_cols, by_col, buckets = 10, cut_type = "even",
  scale = "uniform")

Arguments

input_df	input data.frame or data.table
plot_cols	string vector naming one or more columns in input_df to plot against by_col
by_col	string naming the x-variable against which the plot_cols are measured
buckets	number of buckets into which to attempt to reduce the data. Defaults to 10.
cut_type	either "even" or "quantile". Defaults to "even". "even" Cut data into evenly spaced buckets from the min to the max of by_col "quantile" Cut data by quantile, in which each bucket will have approximately the same weight.
scale	either "uniform" or "cartesian". Defaults to "uniform". "uniform" Distribute data buckets evenly. Represent weight with a bar chart. "cartesian" Distribute data buckets according to the mean of their by_var. Represent weight with a histogram.

DexGroves/universe documentation built on May 6, 2019, 2:13 p.m.