plot-methods: Plot methods for S4 objects of class klausuR and klausuR.mult

In klausuR: Multiple Choice Test Evaluation

Plot methods for S4 objects of class klausuR and klausuR.mult

Description

These plot methods are beeing called by klausur.report. If x is of class klausuR.mult, only the global results will be plotted. Should you rather like plots on each test form, call plot with the single slots from that object accordingly.

Usage

plot(x, y, ...)

## S4 method for signature 'klausuR,missing'
plot(x, marks = FALSE, sd.lines = FALSE, plot.normal = TRUE,
      na.rm = TRUE, ...)

## S4 method for signature 'klausuR.mult,missing'
plot(x, marks = FALSE, sd.lines = FALSE,
      plot.normal = TRUE, ...)

Arguments

x	An S4 object of class klausuR or klausuR.mult
y	From the generic plot function, ignored for klausuR class objects.
...	Any other argument suitable for plot()
marks	Logical, whether the histogram should show the distribution of points (default) or marks
sd.lines	Logical, whether standard deviation lines should be plotted
plot.normal	Logical, whether normal distribution should be plotted (according to mean and Sd of the results)
na.rm	Logical, whether NA values should be ignored. Defaults to TRUE, because plotting would fail otherwise

Author(s)

m.eik michalke [e-mail]

See Also

klausur, klausur.mufo, klausur.report

Examples

data(antworten)

# vector with correct answers:
richtig <- c(Item01=3, Item02=2, Item03=2, Item04=2, Item05=4,
 Item06=3, Item07=4, Item08=1, Item09=2, Item10=2, Item11=4,
 Item12=4, Item13=2, Item14=3, Item15=2, Item16=3, Item17=4,
 Item18=4, Item19=3, Item20=5, Item21=3, Item22=3, Item23=1,
 Item24=3, Item25=1, Item26=3, Item27=5, Item28=3, Item29=4,
 Item30=4, Item31=13, Item32=234)

# vector with assignement of marks:
notenschluessel <- c()
# scheme of assignments: marks[points_from:to] <- mark
notenschluessel[0:12]  <- 5.0
notenschluessel[13:15] <- 4.0
notenschluessel[16:18] <- 3.7
notenschluessel[19:20] <- 3.3
notenschluessel[21]    <- 3.0
notenschluessel[22]    <- 2.7
notenschluessel[23]    <- 2.3
notenschluessel[24]    <- 2.0
notenschluessel[25:26] <- 1.7
notenschluessel[27:29] <- 1.3
notenschluessel[30:32] <- 1.0

data.obj <- klausur.data(answ=antworten, corr=richtig, marks=notenschluessel)
klsr.obj <- klausur(data.obj)
plot(klsr.obj, marks=TRUE)

klausuR documentation built on April 5, 2022, 1:15 a.m.