therapyMonitor
therapyMonitor & therapyMonitor.multi
therapyMonitor & therapyMonitor.multi are useful for simple nof1 designs, and were written to make it easy for therapists or other practitioners to get some insight into the effects of their treatments.
 Keywords
 utilities
Usage
therapyMonitor(dat = NULL, design="AB", statistic="AB", conditionColumn = NULL, variableColumn = NULL, timeColumn = NULL, conditionMoment = NULL, limit=NULL, lines=NULL, ylab=NULL, xlab=NULL, outputFile = NULL, outputFormats = c('svg', 'png'), plotTitle = "therapyMonitor results", plotWidth=25, plotHeight=15)
therapyMonitor.multi(dat = NULL, variableColumn = NULL, conditionColumn = NULL, conditionMoment = NULL, minLevels = 5, outputFiles = FALSE, outputFilePath = getwd(), outputFormats = c('svg', 'png'), silent=FALSE, ...)
Arguments
 dat

A dataframe containing the variables to analyse. If not dataframe is
specified, get
getData
function is used to present a dialog to the user.  design

The design to use; see
pvalue.systematic
in theSCRTpackage
for more information. Note that currently, this function always assumes an "AB" design; changing this only changes the waypvalue.systematic
is called.  statistic

The statistic to use; see
pvalue.systematic
in theSCRTpackage
for more information. Note that currently, this function always assumes the "AB" statistic; changing this only changes the waypvalue.systematic
is called.  conditionColumn
 The name of the variable containing, for each measurement, the condition, or the phase of the treatment. This variable should normally only have two levels (e.g. 'A' and 'B'), indicating when the treatment changed from condition 'A' to condition 'B'.
 variableColumn

For
therapyMonitor
, this must be a single value: the name of the variable to analyse as dependent variable. FortherapyMonitor.multi
, this can be a vector, in which case all the specified variables are analysed sequentially. In any case, the variable(s) specified here must have the 'interval' measurement level (i.e. be roughly continuous). FortherapyMonitor.multi
, if this argument is empty, all variables are used, provided they have at leastminLevels
levels.  timeColumn
 The variable containing the time (datetime) of each measurement moment. If not specified in R's POSIXct format, the function tries to guess whether SPSS, SAS, or Stata timestamps were specified, and tries to convert. If the timeColumn isn't specified, the function will assume that all measurements were equidistant, and they'll simply be assigned consecutive numbers als measurement moments.
 conditionMoment
 The conditionMoment argument provides an alternative method of specifying when the condition changed; this can be the number of the first measurement in the new (second) condition/phase. For example, if the treatment started after the 6th measurement, this can be specified by passing 'conditionMoment=7'.
 limit

The minimum number of consecutive measurements that has to be available
within one condition/phase to enable the analysis (see
pvalue.systematic
).  lines

Which lines in the
dat
dataframe to use.  ylab, xlab
 Labels to use when creating the plots.
 outputFile

If not NULL, the filename to write the plot to. Note that this filename
should not include the extension  this is appended based on the
outputFormats
argument.  outputFormats
 Which format to use for the plot or plots to export.
 plotTitle
 The title for the plot.
 plotWidth, plotHeight
 The size of the plot (in centimeters).
 minLevels
 The minimum number of levels that a variable in the datafile has to have before it's included in the analyses.
 outputFiles
 Whether to export the plots and regular output to files.
 outputFilePath

If
outputFiles
is TRUE, the path where to store the output files.  silent
 Whether to suppress messages about progress etc.
 ...

Additional arguments to
therapyMonitor.multi
are passed on totherapyMonitor
.
Details
This function started as a wrapper to the pvalue.systematic
function in the SCRTpackage
, but it now also does some extra
stuff.
Value
 For therapyMonitor, an object with the input and several output variables,
as well as a plot. For therapyMonitor.multi, an object containing several
therapyMonitor objects, as well as collated output.
Examples
### Explore and plot the weight of a chick in the ChickWeight dataset
therapyMonitor(ChickWeight, variableColumn='weight',
conditionMoment=6, lines=1:12);
Community examples
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