boxhist: Univariate Exploration of a CSV File
Name:
boxhist
Type:
Related:
Description:
Univariate numeric data for download in a CSV file (comma-separated values) need to be assessed using quantiles (three numeric items) and exploratory graphics (three single-choice items). Data are drawn randomly from a suitable data-generating process so that the single-choice items are either about correct or clearly wrong.
Solution feedback:
Yes
Randomization:
Random numbers, text blocks, and data file
Mathematical notation:
Yes
Verbatim R input/output:
No
Images:
Yes
Other supplements:
No
(Note that the HTML output contains mathematical equations in MathML, rendered by MathJax using ‘mathjax = TRUE’. Instead it is also possible to use ‘converter = “pandoc-mathjax”’ so that LaTeX equations are rendered by MathJax directly.)
Demo code:
library("exams")
set.seed(403)
exams2html("boxhist.Rmd", mathjax = TRUE)
set.seed(403)
exams2pdf("boxhist.Rmd")
set.seed(403)
exams2html("boxhist.Rnw", mathjax = TRUE)
set.seed(403)
exams2pdf("boxhist.Rnw")