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.
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
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)")
Results
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> library(DAAG)
Loading required package: lattice
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/DAAG/onesamp.Rd_%03d_medium.png", width=480, height=480)
> ### Name: onesamp
> ### Title: Paired Sample t-test
> ### Aliases: onesamp
> ### Keywords: models
>
> ### ** Examples
>
> onesamp(dset = pair65, x = "ambient", y = "heated", xlab =
+ "Amount of stretch (ambient)", ylab =
+ "Amount of stretch (heated)")
heated 14.60403 16.28479 6.103278
One Sample t-test
data: d
t = 3.1131, df = 8, p-value = 0.01438
alternative hypothesis: true mean is not equal to 0
95 percent confidence interval:
1.641939 11.024728
sample estimates:
mean of x
6.333333
>
>
>
>
>
> dev.off()
null device
1
>