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This function performs a t-test for the mean difference for paired data, and produces a scatterplot of one column against the other column, showing whether there was any benefit to using the paired design.
onesamp(dset, x="unsprayed", y="sprayed", xlab=NULL, ylab=NULL, dubious=NULL, conv=NULL, dig=2)
a matrix or dataframe having two columns
name of column to play the role of the `predictor'
name of column to play the role of the `response'
horizontal axis label
vertical axis label
vector of logical (FALSE/TRUE) values, specifying points that are to be omitted
FALSE
TRUE
scaling factor that should be applied to data
round SE to this number of digits for dispplay on graph
A scatterplot of y against x together with estimates of standard errors and standard errors of the difference (y-x).
y
x
Also produced is a confidence interval and p-value for the test.
# NOT RUN { onesamp(dset = pair65, x = "ambient", y = "heated", xlab = "Amount of stretch (ambient)", ylab = "Amount of stretch (heated)") # }
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