omit readme console output and add link

README.Rmd

@@ -40,12 +40,17 @@ reticulate::py_available(initialize = TRUE)
 
 If you don't already have Python installed, it can be downloaded from
 www.python.org/downloads, or installed directly from R using the
-`install_python()` function in reticulate.
+`install_python()` function in reticulate. See also [Using Python with the
+RStudio
+IDE](https://support.posit.co/hc/en-us/articles/1500007929061-Using-Python-with-the-RStudio-IDE)
+for more information on configuring RStudio to use Python.
 
 ```{r, eval=FALSE}
 reticulate::install_python()
 ```
 
+
+
 Finally, use the `rpxl::install_rpxl()` function to install the required Python
 dependencies.
 
@@ -66,7 +71,7 @@ Read password-protected .xlsx files with function `rp_xlsx()`, a wrapper to
 
 ```{r}
 path_xlsx <- system.file("extdata", "xltest.xlsx", package = "rpxl")
-rp_xlsx(path_xlsx, password = "1234")
+df <- rp_xlsx(path_xlsx, password = "1234")
 ```
 
 Read password-protected .xlsb files with function `rp_xlsb()`, a wrapper to
@@ -77,7 +82,7 @@ sheet 1.
 
 ```{r}
 path_xlsb <- system.file("extdata", "xltest.xlsb", package = "rpxl")
-rp_xlsb(path_xlsb, password = "1234", sheet = 1)
+df <- rp_xlsb(path_xlsb, password = "1234", sheet = 1)
 ```
 
 To decrypt a password-protected Excel file and save it under a different
@@ -93,14 +98,14 @@ path_decrypted <- decrypt_wb(path_xlsx, password = "1234")
 The decrypted file can then be read into R in a separate step.
 
 ```{r}
-readxl::read_xlsx(path_decrypted)
+df <- readxl::read_xlsx(path_decrypted)
 ```
 
 You may want to explicitly delete the decrypted file afterwards, if its contents
 are sensitive. Otherwise, if it's a temporary file created with `tempfile()`, it
 will be automatically deleted when the current R session is closed.
 
-```{r}
+```{r, eval=FALSE}
 file.remove(path_decrypted)
 ```
 

README.md

@@ -38,7 +38,10 @@ reticulate::py_available(initialize = TRUE)
 
 If you don’t already have Python installed, it can be downloaded from
 www.python.org/downloads, or installed directly from R using the
-`install_python()` function in reticulate.
+`install_python()` function in reticulate. See also [Using Python with
+the RStudio
+IDE](https://support.posit.co/hc/en-us/articles/1500007929061-Using-Python-with-the-RStudio-IDE)
+for more information on configuring RStudio to use Python.
 
 ``` r
 reticulate::install_python()
@@ -63,16 +66,9 @@ to `read_xlsx()` in the [readxl](https://readxl.tidyverse.org/) package.
 
 ``` r
 path_xlsx <- system.file("extdata", "xltest.xlsx", package = "rpxl")
-rp_xlsx(path_xlsx, password = "1234")
+df <- rp_xlsx(path_xlsx, password = "1234")
 ```
 
- ## # A tibble: 3 × 3
- ## x ext protected
- ## <dbl> <chr> <chr> 
- ## 1 1 xlsx yes 
- ## 2 2 xlsx yes 
- ## 3 3 xlsx yes
-
 Read password-protected .xlsb files with function `rp_xlsb()`, a wrapper
 to `read_xlsb()` in the [readxlsb](https://github.com/velofrog/readxlsb)
 package. Note that `read_xlsb()` requires the worksheet to be explicitly
@@ -81,14 +77,9 @@ specified (either with argument ‘sheet’ or ‘range’), whereas
 
 ``` r
 path_xlsb <- system.file("extdata", "xltest.xlsb", package = "rpxl")
-rp_xlsb(path_xlsb, password = "1234", sheet = 1)
+df <- rp_xlsb(path_xlsb, password = "1234", sheet = 1)
 ```
 
- ## x ext protected
- ## 1 1 xlsb yes
- ## 2 2 xlsb yes
- ## 3 3 xlsb yes
-
 To decrypt a password-protected Excel file and save it under a different
 filename (without immediately reading it into R), you can use the
 function `decrypt_wb()`. The function returns the path to the decrypted
@@ -102,16 +93,9 @@ path_decrypted <- decrypt_wb(path_xlsx, password = "1234")
 The decrypted file can then be read into R in a separate step.
 
 ``` r
-readxl::read_xlsx(path_decrypted)
+df <- readxl::read_xlsx(path_decrypted)
 ```
 
- ## # A tibble: 3 × 3
- ## x ext protected
- ## <dbl> <chr> <chr> 
- ## 1 1 xlsx yes 
- ## 2 2 xlsx yes 
- ## 3 3 xlsx yes
-
 You may want to explicitly delete the decrypted file afterwards, if its
 contents are sensitive. Otherwise, if it’s a temporary file created with
 `tempfile()`, it will be automatically deleted when the current R
@@ -120,5 +104,3 @@ session is closed.
 ``` r
 file.remove(path_decrypted)
 ```
-
- ## [1] TRUE