didacticPlot is useful for making ggplot2 plots of distributions of t, F, Chi^2, and Pearson r, showing a given value, and shading the arie covering the more extreme values. didacticPlotTheme is the basic theme.
didacticPlot(foundValue, statistic, df1, df2 = NULL, granularity = 1000, xLim = NULL, yLab = NULL, lineCol = "red", lineSize=1, surfaceCol = "red", textMarginFactor = 20, sided="two") didacticPlotTheme(base_size = 14, base_family = "")
- The value to indicate (the 'found' value).
- One of "r", "t", "f" or "chisq".
- df1, df2
- The degrees of freedom; only use df1 for the r, t and chi^2 test; for the F-test, use df1 for the degrees of freedom of the denominator and df2 for the degrees of freedom of the numerator.
- Steps to use for x-axis.
- Vector; minimum and maximum values on x axis.
- Label on y axis.
- Colour of density line.
- Size of density line.
- Colour of coloured surface area.
- Used to calculate how close to the vertical line text labels should appear.
- Whether to make a plot for a 2-sided or 1-sided test.
- base_size, base_family
- Passed on to the grey ggplot theme.
didacticPlot returns an object that contains the plot in the $plot element.
didacticPlot(1, statistic='chisq', df1=2); didacticPlot(1, statistic='t', df1=40); didacticPlot(2.02, statistic='t', df1=40, textMarginFactor=25); ### Two sample t-test for n1 = n2 = 250, showing ### p-value of 5% # a<-didacticPlot(1.96, statistic='t', df1=498);
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