fix vignette

Author: m7pr

vignettes/using-scatterplot.Rmd

@@ -21,7 +21,7 @@ various types of datasets using the scatter plot module `tm_g_scatterplot()`:
 
 ## 1 - Load libraries
 
-```{r library, echo=TRUE, message=FALSE, warning=FALSE, results="hide", eval = requireNamespace("ggpmics") && requireNamespace("ggExtra") && requireNamespace("colourpicker")}
+```{r library, echo=TRUE, message=FALSE, warning=FALSE, results="hide", eval = requireNamespace("ggpmisc") && requireNamespace("ggExtra") && requireNamespace("colourpicker")}
 library(teal.modules.general) # used to create the app
 library(dplyr) # used to modify data sets
 library(ggpmisc)
@@ -38,7 +38,7 @@ Inside this app 4 datasets will be used
 3. `ADTTE` A long data set with time to event data
 4. `ADLB` A long data set with lab measurements for each subject
 
-```{r data, echo=TRUE, message=FALSE, warning=FALSE, results="hide", eval = requireNamespace("ggpmics") && requireNamespace("ggExtra") && requireNamespace("colourpicker")}
+```{r data, echo=TRUE, message=FALSE, warning=FALSE, results="hide", eval = requireNamespace("ggpmisc") && requireNamespace("ggExtra") && requireNamespace("colourpicker")}
 data <- teal_data()
 data <- within(data, {
   ADSL <- teal.modules.general::rADSL %>%
@@ -62,7 +62,7 @@ create an app. The data will be handed over using `teal.data::teal_data()`. The
 itself will be constructed by multiple calls of `tm_g_scatterplot()` using different
 combinations of data sets.
 
-```{r app, echo=TRUE, message=FALSE, warning=FALSE, results="hide", eval = requireNamespace("ggpmics") && requireNamespace("ggExtra") && requireNamespace("colourpicker")}
+```{r app, echo=TRUE, message=FALSE, warning=FALSE, results="hide", eval = requireNamespace("ggpmisc") && requireNamespace("ggExtra") && requireNamespace("colourpicker")}
 # configuration for the single wide datasets
 mod1 <- tm_g_scatterplot(
   label = "Single wide dataset",