pull from main

DESCRIPTION

@@ -1,12 +1,13 @@
 Package: travelSurveyTools
 Title: travelSurveyTools
-Version: 2.3.2
+Version: 2.3.3
 Authors@R: c(
     person("RSG", "Inc.", , "rsg@rsginc.com", role = c("aut", "cre")),
     person("Ashley", "Asmus", , "ashley.asmus@rsginc.com", role = "aut"),
     person("Erika", "Redding", , "erika.redding@rsginc.com", role = "aut"),
     person("Jacob", "Moore", , "jacob.moore@rsginc.com", role = "aut"),
-    person("James", "Clark", , "james.clark@rsginc.com", role = "aut")
+    person("James", "Clark", , "james.clark@rsginc.com", role = "aut"),
+    person("Matt", "Landis", , "matt.landis@rsginc.com", role = "aut")
     )
 Description: An R Package To Make Working With And Summarizing Household Travel Survey Data Easier.
 License: GPL (>= 3)
@@ -30,7 +31,7 @@ Suggests:
     tigris
 Config/testthat/edition: 3
 Depends: 
-    R (>= 2.10)
+    R (>= 4.1)
 LazyData: true
 VignetteBuilder: knitr
 URL: https://github.com/RSGInc/travelSurveyTools

NEWS.md

@@ -1,3 +1,7 @@
+# travelSurveyTools 2.3.3
+
+- Small updates to DESCRIPTION
+
 # travelSurveyTools 2.3.2
 
 - Additional steps to ensure anonymity of test data

R/data.R

@@ -128,7 +128,7 @@
 #' A data frame with 55 rows and 10 columns:
 #' \describe{
 #'   \item{variable}{Name of the variable}
-#'   \item{is_checkbox}{The variable is a 'Select all that Apply' question}
+#'   \item{is_checkbox}{The variable is a multiple response categorical variable question}
 #'   \item{hh}{The variable exists in the hh table}
 #'   \item{person}{The variable exists in the person table}
 #'   \item{day}{The variable exists in the day table}

R/hts_summary_cat.R

@@ -228,14 +228,14 @@ hts_summary_cat = function(prepped_dt,
         strataname = strataname)
 
       wtd_summary =
-        so %>%
-        group_by_at(unlist(groupbyvars)) %>%
+        so |>
+        group_by_at(unlist(groupbyvars)) |>
         summarize(
           count = length(get(summarize_var)),
           prop =  srvyr::survey_prop(proportion = FALSE,
                                      vartype = "se"),
           est = survey_total(vartype = "se")
-        ) %>%
+        ) |>
         setDT()
 
     } else if (!se) {

R/hts_summary_num.R

@@ -90,15 +90,15 @@ hts_summary_num = function(prepped_dt,
 
       # Calculate survey proportions:
       num_summary_wttype =
-        num_so_ls[[wt_type]] %>%
-        group_by_at(unlist(summarize_by)) %>%
+        num_so_ls[[wt_type]] |>
+        group_by_at(unlist(summarize_by)) |>
         summarize(
           count =   length(get(summarize_var)),
           min =     min(get(summarize_var), na.rm = TRUE),
           max =     max(get(summarize_var), na.rm = TRUE),
           mean =    survey_mean(get(summarize_var), vartype = variance_type, na.rm = TRUE),
           median =  survey_median(get(summarize_var), vartype = NULL, na.rm = TRUE)
-        ) %>%
+        ) |>
         setDT()
 
       num_summary_ls[[wt_type]] = num_summary_wttype
@@ -107,15 +107,15 @@ hts_summary_num = function(prepped_dt,
 
       # Calculate survey proportions:
       num_summary_wttype =
-        num_so_ls[[wt_type]] %>%
-        group_by_at(unlist(summarize_by)) %>%
+        num_so_ls[[wt_type]] |>
+        group_by_at(unlist(summarize_by)) |>
         summarize(
           count =   length(get(summarize_var)),
           min =     min(get(summarize_var), na.rm = TRUE),
           max =     max(get(summarize_var), na.rm = TRUE),
           mean =    survey_mean(get(summarize_var), vartype = NULL, na.rm = TRUE),
           median =  survey_median(get(summarize_var), vartype = NULL, na.rm = TRUE)
-        ) %>%
+        ) |>
         setDT()
 
       num_summary_ls[[wt_type]] = num_summary_wttype

R/utils-pipe.R

@@ -11,4 +11,4 @@
 #' @param lhs A value or the magrittr placeholder.
 #' @param rhs A function call using the magrittr semantics.
 #' @return The result of calling `rhs(lhs)`.
-NULL
+NULL