DAAG (version 1.25.4)

onesamp: Paired Sample t-test

Description

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.

Usage

onesamp(dset, x="unsprayed", y="sprayed", xlab=NULL, ylab=NULL,
        dubious=NULL, conv=NULL, dig=2, ...)

Arguments

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 (FALSE/TRUE) values, specifying points that are to be omitted

conv

scaling factor that should be applied to data

dig

round SE to this number of digits for dispplay on graph

...

Further arguments, to be passed to plot()

Value

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.

Examples

# NOT RUN {
onesamp(dset = pair65, x = "ambient", y = "heated", xlab =
        "Amount of stretch (ambient)", ylab =
        "Amount of stretch (heated)") 
# }