c(person("James", "Ramsay", role = c("aut", "cre"),
email = "James.Ramsay@mcgill.ca"))
R (>= 3.5), fda, splines, graphics, deSolve, knitr, rmarkdown
Provides methods for using differential equations as modelling
objects as described in J. Ramsay G. and Hooker (2017,ISBN 978-1-4939-7188-6)
Dynamic Data Analysis, New York: Springer. Data sets and script files for
analyzing many of the examples in this book are included. This version
corrects bugs and adds two new demos, CruiseControl and monotoneSmoothDemo.
This version incorporates a new system for indexing coefficient list objects.
The step of setting up a set of coefficient list objects has been
eliminated and the functions make.Coef() and coefCheck have been dropped.
'Matlab' versions of the code and sample analyses are available by ftp from
the website.  There you find a set of .zip files containing the functions
and sample analyses, as well as two .txt files giving instructions for
installation and some additional information.

Includes functions that researchers or practitioners may use to clean
raw data, transferring html, xlsx, txt data file into other formats. And it
also can be used to manipulate text variables, extract numeric variables from
text variables and other variable cleaning processes. It is originated from a
author's project which focuses on creative performance in online education
environment. The resulting paper of that study will be published soon.

R tools for making it easier to combine and clean data sets.
R tools for combining and cleaning data sets, including filling in
missing observations with data from another data frame and creating
lag/lead variables.
'DropNA.R' 'MoveFront.R' 'FillIn.R' 'slide.R' 'utils.R'

R tools for combining data sets, including filling in
missing observations with data from another data frame.

R tools for combining and cleaning data sets, including
filling in missing observations with data from another data
frame.

R tools for combining and cleaning data sets, including filling in
missing observations with data from another data frame.