In Rkabacoff/qacr: Functions to Facilitate Data Science Projects

knitr::opts_chunk$set(echo = TRUE, message=FALSE, warning=FALSE)

require(qacr)
require(knitr)
require(kableExtra)
x <- contents(coffee)

Data frame: r x$dfname.

The data frame has r x$nrow rows and r x$ncol columns.

Overall

Description

kable(x$overall) %>%
  kable_styling(bootstrap_options=c("striped", "hover"), 
                full_width=FALSE, position="left")

Plot

dfPlot(coffee)

Quantitative Variables

Description

kable(x$qvars) %>%
  kable_styling(bootstrap_options=c("striped", "hover"), 
                full_width=FALSE, position="left")

Plot

histograms(coffee)

Categorical Variables

Description

kable(x$cvars) %>%
  kable_styling(bootstrap_options=c("striped", "hover"), 
                full_width=FALSE, position="left")

Plot

barcharts(coffee)

Correlations

Plot

corplot(coffee, sort=TRUE,lab_size=2)

Rkabacoff/qacr documentation built on March 20, 2021, 3:03 p.m.