fix simdata rename; examples.Rmd typos

pitakakariki · Oct 12, 2015 · 29e3760 · 29e3760
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diff --git a/build/make_example.r b/build/make_example.r
diff --git a/build/make_simdata.r b/build/make_simdata.r
@@ -27,5 +27,5 @@ z <- rpois(length(x), lambda)
 
 
 simdata <- data.frame(y=y, x=x, g=g, z=z)
-save(example, file='data/simdata.rda')
+save(simdata, file='data/simdata.rda')
 
diff --git a/data/example.rda b/data/example.rda
diff --git a/data/simdata.rda b/data/simdata.rda
diff --git a/vignettes/examples.Rmd b/vignettes/examples.Rmd
@@ -13,11 +13,11 @@ simrOptions(nsim=25, progress=FALSE, observedPowerWarning=FALSE)
 
 This vignette provides examples of some of the hypothesis tests that can be specified in `simr`. The function `doTest` can be used to apply a test to an input model, which lets you check that the test works before running a power simulation.
 
-Documentation for the test specification functions can be found in the online help at `?tests`.
+Documentation for the test specification functions can be found in the help system at `?tests`.
 
 ## Binomial GLMM with a categorical predictor
 
-The first example comes from the online help for `glmer`. The data frame `cbpp` contains data on contagious bovine pleuropneumonia. An observation variable is added to allow for overdispersion. Note that the response is specified using `cbind` --- `simr` expects a binomial model to be in this form.
+The first example comes from the help page for `glmer`. The data frame `cbpp` contains data on contagious bovine pleuropneumonia. An observation variable is added to allow for overdispersion. Note that the response is specified using `cbind` --- `simr` expects a binomial model to be in this form.
 
 ```{r}
 cbpp$obs <- 1:nrow(cbpp)