rand_correlate: Make dataset

In houyunhuang/ggcor: Extended tools for correlation analysis and visualization

Description

Make rand dataset

Usage

rand_correlate(
  rows = 12,
  cols = NULL,
  obs = 100,
  row.names = NULL,
  col.names = NULL,
  type = "cubic",
  frequency = 0.15,
  reorder = TRUE,
  seed = NULL,
  ...
)

rand_dataset(
  vars = 12,
  obs = 100,
  reorder = TRUE,
  row.names = NULL,
  col.names = NULL,
  type = "cubic",
  frequency = 0.15,
  seed = NULL,
  ...
)

Arguments

rows, cols	number of rows and columns.
obs	number of observation.
row.names, col.names	row/column names.
type	one of "perlin", "cubic", "simplex", "value", "worley" or "white".
frequency	determines the granularity of the features in the noise.
reorder	reorder the dataset at random.
seed	an integer value or NULL.
...	extra parameters.
vars	number of variables.

Value

a correlate object or data.frame.

Author(s)

Houyun Huang, Lei Zhou, Jian Chen, Taiyun Wei

Examples

rand_dataset()
rand_correlate() %>% quickcor() + geom_square()
rand_correlate(cols = 6) %>% quickcor() + geom_square()

houyunhuang/ggcor documentation built on July 22, 2020, 8:31 p.m.