exReport
(Package: greport) :
Exclusion Report
Generates graphics for sequential exclusion criteria
● Data Source:
CranContrib
● Keywords:
● Alias: exReport
●
0 images
|
Get greport options, assigning default values of unspecified optios.
● Data Source:
CranContrib
● Keywords:
● Alias: getgreportOption
●
0 images
|
Compute a good par("mfrow") given the number of figures to plot.
● Data Source:
CranContrib
● Keywords:
● Alias: mfrowSuggest
●
0 images
|
Included a generated figure within LaTex document. tcaption and tlongcaption only apply if setgreportOption(tablelink="hyperref") .
● Data Source:
CranContrib
● Keywords:
● Alias: putFig
●
0 images
|
startPlot
(Package: greport) :
Plot Initialization
Toggle plotting. Sets options by examining setgreportOption(gtype=) .
● Data Source:
CranContrib
● Keywords:
● Alias: endPlot, startPlot
●
0 images
|
dReport
(Package: greport) :
Descriptive Statistics Report
Generate graphics and LaTeX with descriptive statistics
● Data Source:
CranContrib
● Keywords:
● Alias: dReport
●
0 images
|
Create a LaTeX picture to draw needles for current sample sizes. Uses colors set by call to setgreportOptions .
● Data Source:
CranContrib
● Keywords:
● Alias: dNeedle
●
0 images
|
Generate a Survival Report with Kaplan-Meier Estimates
● Data Source:
CranContrib
● Keywords:
● Alias: survReport
●
0 images
|
appsection
(Package: greport) :
Issue LaTeX section and/or subsection in appendix
This is useful for copying section and subsection titles in the main body of the report to the appendix, to help in navigating supporting tables. LaTeX backslash characters need to be doubled.
● Data Source:
CranContrib
● Keywords:
● Alias: appsection
●
0 images
|
Merge
(Package: greport) :
Merge Multiple Data Frames or Data Tables
Merges an arbitrarily large series of data frames or data tables containing common id variables (keys for data tables). Information about number of observations and number of unique id s in individual and final merged datasets is printed. The first data frame has special meaning in that all of its observations are kept whether they match id s in other data frames or not. For all other data frames, by default non-matching observations are dropped. The first data frame is also the one against which counts of unique id s are compared. Sometimes merge drops variable attributes such as labels and units . These are restored by Merge . If all objects are of class data.table , faster merging will be done using the data.table package's join operation. This assumes that all objects have identical key variables and those of the variables on which to merge.
● Data Source:
CranContrib
● Keywords:
● Alias: Merge
●
0 images
|