onesamp: Paired Sample t-test

In jhmaindonald/DAAG: Data Analysis and Graphics Data and Functions

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.

Author(s)

J.H. Maindonald

Examples

onesamp(dset = pair65, x = "ambient", y = "heated", xlab =
        "Amount of stretch (ambient)", ylab =
        "Amount of stretch (heated)") 

jhmaindonald/DAAG documentation built on May 3, 2019, 3:13 p.m.