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)")Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.