These methods print the userfriendlyscience objects. Note that they are not all documented; most of them are quite straightforward.
# S3 method for dlvPlot
print(x, ...)
# S3 method for freq
print(x, digits=x$input$digits, nsmall=x$input$nsmall,
transposed=x$input$transposed, ...)
# S3 method for meanConfInt
print(x, digits=2, ...)
# S3 method for meanDiff
print(x, digits=x$digits,powerDigits=x$digits + 2, ...)
# S3 method for meanDiff.multi
print(x, digits=x$digits,
powerDigits=x$digits + 2, ...)
# S3 method for normalityAssessment
print(x, ...)
# S3 method for oddsratio
print(x, digits=x$input$digits, ...)
# S3 method for powerHist
print(x, ...)
# S3 method for rMatrix
print(x, digits=x$digits, output=x$output,
pValueDigits = x$pValueDigits, env.LaTeX = x$env.LaTeX,
pboxWidthMultiplier = x$pboxWidthMultiplier,
colNames = x$colNames, ...)
# S3 method for scaleDiagnosis
print(x, ...)
# S3 method for scaleStructure
print(x, digits=x$input$digits, ...)
# S3 method for sdConfInt
print(x, digits=2, ...)
# S3 method for testRetestAlpha
print(x, ...)
# S3 method for testRetestCES
print(x, digits=x$input$digits, ...)
# S3 method for testRetestReliability
print(x, digits=x$input$digits, ...)
# S3 method for parallelSubscales
print(x, nsmall=2, ...)
# S3 method for dataShape
print(x, digits=x$input$digits, extraNotification=TRUE, ...)
# S3 method for didacticPlot
print(x, ...)
# S3 method for scatterMatrix
print(x, ...)
# S3 method for CramersV
print(x, digits = x$input$digits, ...)
# S3 method for associationMatrix
print(x, type = x$input$type,
info = x$input$info,
file = x$input$file, ...)
# S3 method for confIntV
print(x, digits = x$input$digits, ...)
# S3 method for cohensdCI
print(x, ...)
# S3 method for crossTab
print(x, digits = x$input$digits,
pValueDigits=x$input$pValueDigits, ...)
# S3 method for oneway
print(x, digits = x$input$digits,
pvalueDigits=x$input$pvalueDigits,
na.print="", ...)
# S3 method for posthocTGH
print(x, digits = x$input$digits, ...)
# S3 method for scaleInspection
print(x, show=x$show, ...)
# S3 method for regr
print(x, digits=x$input$digits,
pvalueDigits=x$input$pvalueDigits, ...)
# S3 method for processOpenSesameIAT
print(x, ...)
# S3 method for processOpenSesameIAT.log
print(x, ...)
# S3 method for descr
print(x, digits = attr(x, 'digits'),
t = attr(x, "transpose"),
row.names = FALSE, ...)
# S3 method for therapyMonitor
print(x, digits=2, printPlot = TRUE, ...)
# S3 method for therapyMonitor.multi
print(x, ...)
# S3 method for asymmetricalScatterMatrix
print(x, ...)
# S3 method for fullFact
print(x, ...)
# S3 method for confIntOmegaSq
print(x, ..., digits = 2)
# S3 method for examine
print(x, ...)
# S3 method for examineBy
print(x, ...)
# S3 method for frequencies
print(x, ...)
# S3 method for power.htest.ufs
print(x, digits = x$digits, ...)
# S3 method for regrInfluential
print(x, ...)
# S3 method for nnc
print(x, digits=2, ...)
# S3 method for fanova
print(x, digits = x$input$digits, ...)
# S3 method for genlog
print(x, digits = 3, ...)
# S3 method for ggProportionPlot
print(x, ...)
# S3 method for logRegr
print(x, digits = x$input$digits,
pvalueDigits = x$input$pvalueDigits,
...)
# S3 method for piecewiseRegr
print(x, digits = x$input$digits, ...)The object to print.
The number of significant digits to print.
The minimum number of digits to the right of the decimal point in formatting real/complex numbers in non-scientific formats. Allowed values are 0 <= nsmall <= 20.
Whether the frequency object should be printed transposed (this can be useful for blind users).
Number of digits to use when printing the power.
Output to produce; see /code/linkrMatrix for details.
Output to produce and file to write to; see /code/linkassociationMatrix for details.
Whether an extra notification about the type of skewness and kurtosis returned by dataShape is shown.
The number of digits to show for p-values; smaller p-values will be shown as <.001 or <.0001 etc.
Whether to also print the plot.
What to print for missing values, for example for a oneway anova table.
To override the 'show' argument, which is sometimes used to inhibit printing of extensive information with e.g. many plots, which is useful for some functions that, for example, primarily generate a PDF.
Whether to print rownames.
Addition arguments that are passed on to the print functions when it's called.
These printing methods return nothing, but print stuff.
# NOT RUN {
print(sdConfInt(sd=4, n=20));
print(oneway(y=ChickWeight$weight, x=ChickWeight$Diet), na.print="[NO VALUE]");
# }
Run the code above in your browser using DataLab