Lint 'Python' Files with a R Command or a 'RStudio' Addin
Allow to run 'pylint' on Python files with a R command or a 'RStudio' addin. The report appears in the RStudio viewer pane as a formatted HTML file.

Drawing population pyramid using (1) data.frame or (2)
vectors. The former is named as pyramid() and the latter
pyramids(), as lapper function of pyramid().

Drawing population pyramid using (1) data.frame or (2)
vectors.  The former is named as pyramid() and the latter
pyramids(), as lapper function of pyramid().

Drawing population pyramid using (1) data.frame or (2) vectors.
The former is named as pyramid() and the latter pyramids(), as wrapper
function of pyramid().  pyramidf() is the function to draw population
pyramid within the specified frame.

person("Jim", "Duggan", email = "jim.duggan@nuigalway.ie", role = c("aut", "cre"))
Using the R package 'reticulate', this package creates an interface to the 'pysd' toolset.
The package provides an R interface to a number of 'pysd' functions, and can read files in
'Vensim' 'mdl' format, and 'xmile' format. The resulting simulations are returned as a 'tibble', and from
that the results can be processed using 'dplyr' and 'ggplot2'. The package has been tested  using 'python3'.
'python3' needs to built for the same architecture
R is built for (32 or 64 bit).

String operations the Python way - a package for those of us who miss Python's string methods while we're working in R.

Nicole White [aut, cre], Oliver Keyes [aut]
String operations the Python way - a package for those of us who
miss Python's string methods while we're working in R.

c(
person("Yue", "Jiang", role = c("aut", "cre"), email = "rivehill@gmail.com", comment = c(ORCID = "0000-0002-9798-5517"))
)
Read 'GraphPad Prism' '.pzfx' files into R.

Read and write 'GraphPad Prism' '.pzfx' files in R.

qAnalyst makes control charts for  variables and attributes according to Douglas C. Montgomery Introduction to Statistical Quality Control.

qAnalyst makes control charts for variables and attributes according to Douglas C. Montgomery Introduction to Statistical Quality Control book. Moreover, capability analysis for normal and non - normal distributions is implemented.