plot.correlate: Visualize Information for an "correlate" Object

In dlookr: Tools for Data Diagnosis, Exploration, Transformation

Visualize Information for an "correlate" Object

Description

Visualize by attribute of 'correlate' class. The plot of correlation matrix is a tile plot.

Usage

## S3 method for class 'correlate'
plot(x, typographic = TRUE, base_family = NULL, ...)

Arguments

x	an object of class "correlate", usually, a result of a call to correlate().
typographic	logical. Whether to apply focuses on typographic elements to ggplot2 visualization. The default is TRUE. if TRUE provides a base theme that focuses on typographic elements using hrbrthemes package.
base_family	character. The name of the base font family to use for the visualization. If not specified, the font defined in dlookr is applied. (See details)
...	arguments to be passed to methods, such as graphical parameters (see par).

Details

The base_family is selected from "Roboto Condensed", "Liberation Sans Narrow", "NanumSquare", "Noto Sans Korean". If you want to use a different font, use it after loading the Google font with import_google_font().

Value

No return value. This function is called for its side effect, which is to produce a plot on the current graphics device.

See Also

correlate, summary.correlate.

Examples

library(dplyr)

# correlate type is generic ==================================
tab_corr <- correlate(iris)
tab_corr

# visualize correlate class 
plot(tab_corr)

tab_corr <- iris %>% 
  correlate(Sepal.Length, Petal.Length)
tab_corr

# visualize correlate class 
plot(tab_corr)

# correlate type is group ====================================
# Draw a correlation matrix plot by category of Species.
tab_corr <- iris %>% 
  group_by(Species) %>% 
  correlate()

# plot correlate class
plot(tab_corr)

## S3 method for correlate class by 'tbl_dbi' ================
# If you have the 'DBI' and 'RSQLite' packages installed, perform the code block:
if (FALSE) {
# connect DBMS
con_sqlite <- DBI::dbConnect(RSQLite::SQLite(), ":memory:")

# copy iris to the DBMS with a table named TB_IRIS
copy_to(con_sqlite, iris, name = "TB_IRIS", overwrite = TRUE)

# correlation coefficients of all numerical variables
tab_corr <- con_sqlite %>% 
   tbl("TB_IRIS") %>% 
   correlate()
   
plot(tab_corr)   
   
# Disconnect DBMS   
DBI::dbDisconnect(con_sqlite)
}

dlookr documentation built on May 29, 2024, 2 a.m.