Paired Sample t-test
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)
dset |
a matrix or dataframe having two columns |
x |
name of column to play the role of the ‘predictor’ |
y |
name of column to play the role of the ‘response’ |
xlab |
horizontal axis label |
ylab |
vertical axis label |
dubious |
vector of logical ( |
conv |
scaling factor that should be applied to data |
dig |
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
).
Also produced is a confidence interval and p-value for the test.
J.H. Maindonald
onesamp(dset = pair65, x = "ambient", y = "heated", xlab = "Amount of stretch (ambient)", ylab = "Amount of stretch (heated)")
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