Further arguments passed to the plot command.

A single-case data frame. See scdf to learn about this format.

Character string with the name of the dependent variable. Defaults to the attributes in the scdf file.

Character string with the name of the phase variable. Defaults to the attributes in the scdf file.

Character string with the name of the measurement time variable. Defaults to the attributes in the scdf file.

Lower and upper limits of the y-axis (e.g., ylim = c(0, 20) sets the y-axis to a scale from 0 to 20). With multiple single-cases you can use ylim = c(0, NA) to scale the y-axis from 0 to the maximum of each case. ylim is not set by default, which makes scan set a proper scale based on the given data.

Lower and upper limits of the x-axis (e.g., xlim = c(0, 20) sets the x-axis to a scale from 0 to 20). With multiple single-cases you can use ylim = c(0, NA) to scale the x-axis from 0 to the maximum of each case. xlim is not set by default, which makes scan set a proper scale based on the given data.

An integer. Increment of the x-axis. 1 :each mt value will be printed, 2 : every other value, 3 : every third values etc.

A character or list defining one or more lines or curves to be plotted. The argument is either passed as a character string (e.g., lines = "median") or as a list (e.g., list("median", "trend"). Some of the procedures can be refined with an additional argument (e.g., lines = list("mean" = 0.20) adds a 20% trimmed mean line. By default no additional lines are plotted. Possible lines are:

• "median" Separate lines for phase A and B medians.

• "mean" Separate lines for phase A and B means. By default it is 10%-trimmed. Other trims can be set, using a second parameter (e.g., lines = list(mean = 0.2) draws a 20%-trimmed mean line).

• "trend" Separate lines for phase A and B trends.

• "trendA" Trend line for phase A, extrapolated throughout phase B.

• "maxA/minA" Line at the level of the highest or lowest phase A score.

• "medianA" Line at the phase A median score.

• "meanA" Line at the phase A 10%-trimmed mean score. Apply a different trim, by using the additional argument (e.g., lines = list(meanA = 0.2)).

• "plm" Regression lines for piecewise linear regression model.

• "plm.ar" Regression lines for piecewise autoregression model. The lag is specified like this: lines = list(plm.ar = 2). Default lag is set to 2.

• "movingMean" Draws a moving mean curve, with a specified lag: lines = list(movingMean = 2). Default is a lag 1 curve.

• "movingMedian" Draws a moving median curve, with a specified lag: lines = list(movingMedian = 3). Default is a lag 1 curve.

• "loreg" Draws a non-parametric local regression line. The proportion of data influencing each data point can be specified using lines = list("loreg" = 0.66). The default is 0.5.

• "lty" Use this argument to define the line type. Examples are: "solid", "dashed", "dotted".

• "lwd" Use this argument to define the line's thickness, e.g., lwd = 4.

• "col" Use this argument to define the line's color, e.g., col = "red".

A list of parameters defining markings of certain data points.

• "positions" A vector or a list of vectors indicating measurement-times to be highlighted. In case of a vector, the marked measurement-times are the same for all plotted cases. In case of a list of vectors, marks are set differently for each case. The list must have the same length as there are cases in the data file.

• "col" Color of the marks.

• "cex" Size of the marks.

Use for example marks = list(positions = c(1, 8, 15), col = "red", cex = 3) to make the MTs one, eight and 18 appear big and red.

By default phases are labeled based on the levels of the phase variable. Use this argument to specify different labels: phase.names = c("Baseline", "Intervention").

The label of the x-axis. Default is xlab = "Measurement time".

The labels of the y-axis. Default is ylab = "Score".

Main title of the plot.

Case names. If not provided, names are taken from the scdf. Set case.names = "" if you don't like to include case names.

Either a character with the name of a pre-implemented style or a style object. See style_plot to learn about this format.