refactor: reduce dependencies

A series of changes to satisfy CRAN requirements. This includes reducing the number of dependencies

.Rbuildignore

@@ -16,5 +16,8 @@
 # Ignore all figures
 ^man/figures
 
-# Ignore all vignettes
-^vignettes
+# Ignore vignettes
+^vignettes/best-practices.Rmd$
+^vignettes/Change-over-time.Rmd$
+^vignettes/IV-report.Rmd$
+^vignettes/text-mining-capabilities.Rmd$

DESCRIPTION

@@ -35,7 +35,6 @@ Imports:
     dplyr,
     stats,
     utils,
-    tibble,
     tidyr,
     tidyselect (>= 1.0.0),
     magrittr,
@@ -55,7 +54,6 @@ Imports:
     ggraph,
     igraph,
     proxy,
-    rlang,
     ggwordcloud,
     methods,
     data.table,

NAMESPACE

@@ -182,8 +182,6 @@ importFrom(proxy,dist)
 importFrom(purrr,map_if)
 importFrom(purrr,pmap)
 importFrom(purrr,reduce)
-importFrom(rlang,"!!")
-importFrom(rlang,sym)
 importFrom(scales,percent)
 importFrom(scales,wrap_format)
 importFrom(stats,cutree)

R/tm_clean.R

@@ -48,7 +48,7 @@ tm_clean <- function(data,
   # Remove WPI custom irrelevant words
   if(!is.data.frame(stopwords)){
 
-    stopwords <- tibble::tibble(word = "")
+    stopwords <- dplyr::tibble(word = "")
 
   }
 

R/workpatterns_hclust.R

@@ -303,8 +303,6 @@ workpatterns_hclust <- function(data,
 #'
 #' @import ggplot2
 #' @import dplyr
-#' @importFrom rlang sym
-#' @importFrom rlang "!!"
 #' @importFrom tidyselect all_of
 #' @importFrom tidyr gather
 #'
@@ -449,7 +447,7 @@ run_sum_hr <- function(data,
       mode_val <- uni[which.max(tabulate(match(hour_raw, uni)))]
 
 
-      tibble::tibble(cluster = x$cluster[1],
+      dplyr::tibble(cluster = x$cluster[1],
                      median_hour = median(hour_raw),
                      p5_hour = stats::quantile(hour_raw, .05),
                      p25_hour = stats::quantile(hour_raw, .25),

vignettes/intro-to-wpa.Rmd

@@ -29,7 +29,6 @@ To start off using **wpa**, you'll have to load it by running `library(wpa)`. Fo
 ```{r message=FALSE, warning=FALSE}
 library(wpa)
 library(dplyr)
-library(tibble)
 library(tidyr)
 ```