spell check

R/summarise.r

@@ -104,7 +104,7 @@ summarise_.grouped_svy <- function(.data, ..., .dots) {
 #' for variance, and \code{cv} for coefficient of variation. \code{level}
 #' specifies the level for the confidence interval.
 #'
-#' The other arguments correspond to the analagous function arguments from the
+#' The other arguments correspond to the analogous function arguments from the
 #' survey package.
 #'
 #' The available functions from srvyr are:

R/svy_context.R

@@ -73,7 +73,7 @@ peeled_cur_group_id <- function(svy, cur_group) {
 #' functions inside of a summarize call what survey to use (for the current
 #' group with \code{cur_svy()} or the complete survey for \code{cur_svy_full()}.
 #' In general, users will not have to worry about getting (or setting) the current
-#' conext's survey, unless they are trying to extend srvyr.
+#' context's survey, unless they are trying to extend srvyr.
 #' See \code{vignette("extending-srvyr")} for more details. \code{current_svy()}
 #' is deprecated, but returns the same value as \code{cur_svy()}.
 #'

README.Rmd

@@ -112,7 +112,7 @@ Here are some free resources put together by the community about srvyr:
 
 **Still need help?**
 
-I think the best way to get help is to form a specific question and ask it in some place like [rstudio's community webiste](https://community.rstudio.com) (known for it's friendly community) or [stackoverflow.com](https://stackoverflow.com) (maybe not known for being quite as friendly, but probably has more people). If you think you've found a bug in srvyr's code, please file an [issue on GitHub](https://github.com/gergness/srvyr/issues/new), but note that I'm not a great resource for helping specific issue, both because I have limited capacity but also because I do not consider myself an expert in the statistical methods behind survey analysis.
+I think the best way to get help is to form a specific question and ask it in some place like [rstudio's community website](https://community.rstudio.com) (known for it's friendly community) or [stackoverflow.com](https://stackoverflow.com) (maybe not known for being quite as friendly, but probably has more people). If you think you've found a bug in srvyr's code, please file an [issue on GitHub](https://github.com/gergness/srvyr/issues/new), but note that I'm not a great resource for helping specific issue, both because I have limited capacity but also because I do not consider myself an expert in the statistical methods behind survey analysis.
 
 **Have something to add?**
 

vignettes/srvyr-vs-survey.Rmd

@@ -353,7 +353,7 @@ strat_design %>%
   summarize(prop = survey_prop())
 ```
 
-If you want to calculate the propotion for groups from multiple variables at the same
+If you want to calculate the proportion for groups from multiple variables at the same
 time that add up to 100%, the `interact` function can help. The `interact` function
 creates a variable that is automatically split apart so that more than one variable 
 can be unpeeled.