updated github references

cran-comments.md

@@ -2,6 +2,7 @@
 
 ### Resubmission - 01/06/2023
 I have updated some of the URLS to the most current DOI for for references, made links all https, included trailing slashes where they resolve. All other links tested and current.
+Updated Github reference in vignette, and deprecated arguments for ggplot2 in other vignette.
 
 
 

vignettes/changing_funnel_plot_options.Rmd

@@ -114,7 +114,7 @@ funnel_plot(denominator=medpar$prds,numerator=medpar$los
 ## Changing labels
 funnel_plot(denominator=medpar$prds,numerator=medpar$los
  , group = medpar$provnum, limit=99 ,label = "outlier"
- , draw_unadjusted = TRUE, xrange=c(0, 400), yrange=c(0,2))
+ , draw_unadjusted = TRUE, x_range=c(0, 400), y_range=c(0,2))
 
 ```
 
@@ -157,6 +157,6 @@ my_plot <- plot(fp)
 
 # Add an additional geom to plot
 my_plot +
- geom_vline(aes(xintercept=400), linetype = "dashed", colour="red", size=2)
+ geom_vline(aes(xintercept=400), linetype = "dashed", colour="red", linewidth=2)
 
 ```

vignettes/funnel_plots.Rmd

@@ -27,9 +27,8 @@ knitr::opts_chunk$set(
 
 Funnel plots are a common tool for comparing organisations or units using proportions or standardised rates. A common use of them is for monitoring mortality at hospitals. This is an introductory post on the subject, that gives a little information about them and how they are constructed. It is deliberately light on theory, focusing on use, some of the theory is referenced for interested readers.
 
-This post also uses a funnel plot function, for indirectly standardised ratios, that I built as part of my PhD work. The function is based on `ggplot2` [@wickhamGgplot2ElegantGraphics2009], and is available at https://github.com/chrismainey/FunnelPlotR/, although it's a work in progress. 
 
-There are different kinds of funnel plot, but this post focuses on the type used to compare standardised mortality and other similarly constructed indicators .
+There are different kinds of funnel plot, for this vignette, we will focuses on the type used to compare standardised mortality and other similarly constructed indicators.
 
 ## Why do we use them?
 
@@ -104,7 +103,7 @@ Here we will apply this to some data by picking up the `medpar` dataset discusse
 ### Installation
 
 ```{r install, eval=FALSE}
-devtools::install_github("https://github.com/chrismainey/FunnelPlotR")
+devtools::install_github("https://github.com/nhs-r-community/FunnelPlotR")
 ```