fix broken link dplyr::build_sql - bump version

DESCRIPTION

@@ -1,8 +1,8 @@
 Package: infuser
 Type: Package
 Title: A Very Basic Templating Engine
-Version: 0.2.6
-Date: 2017-03-14
+Version: 0.2.7
+Date: 2017-07-03
 Author: Bart Smeets
 Maintainer: Bart Smeets <bartsmeets86@gmail.com>
 Description: Replace parameters in strings and/or text files with specified
@@ -13,7 +13,7 @@ Suggests:
     testthat,
     knitr,
     rmarkdown,
-    dplyr,
+    dbplyr,
     magrittr
 URL: https://github.com/bart6114/infuser/
 BugReports: https://github.com/bart6114/infuser/issues

R/core.R

@@ -6,7 +6,7 @@
 #' Infuse a template with values.
 #'
 #' For more info and usage examples see the README on the \href{https://github.com/Bart6114/infuser}{\code{infuser} github page}.
-#' To help prevent \href{https://xkcd.com/327/}{SQL injection attacks} (or other injection attacks), use a transformation function to escape special characters and provide it through the \code{transform_function} argument. \code{\link[dplyr]{build_sql}} is a great default escaping function for SQL templating.  For templating in other languages you will need to build/specify your own escaping function.
+#' To help prevent \href{https://xkcd.com/327/}{SQL injection attacks} (or other injection attacks), use a transformation function to escape special characters and provide it through the \code{transform_function} argument. \code{\link[dbplyr]{build_sql}} is a great default escaping function for SQL templating.  For templating in other languages you will need to build/specify your own escaping function.
 #'
 #' @param file_or_string the template file or a character string containing the template
 #' @param ... different keys with related values, used to fill in the template (if first passed item is a list/environment the contents of this will be processed instead)

README.Rmd

@@ -147,11 +147,11 @@ my_transform_function<-function(v){
 infuse(sql, name = name, transform_function = my_transform_function)
 ```
 
-Of course you can also use functions from other packages. Specifically for SQL I advise you to take a look at the ```dplyr::build_sql``` function.
+Of course you can also use functions from other packages. Specifically for SQL I advise you to take a look at the ```dbplyr::build_sql``` function.
 
 
 ```{r}
-infuse(sql, name = name, transform_function = dplyr::build_sql)
+infuse(sql, name = name, transform_function = dbplyr::build_sql)
 ```
 
 ## Issues / questions
@@ -161,6 +161,10 @@ Simply create a new issue at this GitHub repository.
 
 ## Changes
 
+### v.0.2.7
+
+- change `dpyr::build_sql` to `dbplyr::build_sql`
+
 ### v.0.2.6
 - set `readLines`'s `warn` parameter to `FALSE`
 

README.md

@@ -171,9 +171,9 @@ function.
     ## INSERT INTO Students (Name) VALUES ('Robert''); DROP TABLE Students;--')
 
 Of course you can also use functions from other packages. Specifically
-for SQL I advise you to take a look at the `dplyr::build_sql` function.
+for SQL I advise you to take a look at the `dbplyr::build_sql` function.
 
-    infuse(sql, name = name, transform_function = dplyr::build_sql)
+    infuse(sql, name = name, transform_function = dbplyr::build_sql)
 
     ## INSERT INTO Students (Name) VALUES ('Robert''); DROP TABLE Students;--')
 
@@ -185,6 +185,10 @@ Simply create a new issue at this GitHub repository.
 Changes
 -------
 
+### v.0.2.7
+
+-   change `dpyr::build_sql` to `dbplyr::build_sql`
+
 ### v.0.2.6
 
 -   set `readLines`'s `warn` parameter to `FALSE`
@@ -199,8 +203,8 @@ Changes
 
 ### v.0.2.2
 
--   dropped `key_value_list` parameter (will be
-    interpreted automatically)
+-   dropped `key_value_list` parameter (will be interpreted
+    automatically)
 -   fixed passing of the `variable_identifier`
 -   ability to make `variable_identifier` persistent
 

vignettes/getting_started.Rmd

@@ -150,9 +150,9 @@ my_transform_function<-function(v){
 infuse(sql, name = name, transform_function = my_transform_function)
 ```
 
-Of course you can also use functions from other packages. Specifically for SQL I advise you to take a look at the `dplyr::build_sql` function.
+Of course you can also use functions from other packages. Specifically for SQL I advise you to take a look at the `dbplyr::build_sql` function.
 
 
 ```{r}
-infuse(sql, name = name, transform_function = dplyr::build_sql)
+infuse(sql, name = name, transform_function = dbplyr::build_sql)
 ```