edit description for professional and procedure_select

.Rbuildignore

@@ -1,3 +1,6 @@
 ^.*\.Rproj$
 ^\.Rproj\.user$
 ^LICENSE\.md$
+^_pkgdown\.yml$
+^docs$
+^pkgdown$

.gitignore

@@ -5,3 +5,4 @@
 
 .DS_Store
 inst/doc
+docs

R/procedure_selection.R

@@ -4,8 +4,9 @@
 #' @param std_data_root professional claim data location
 #' @param prof_codes_folder professional claim folder name
 #' @param cpt_map should include 3 variable: cpt_cd, e_proc_grp and e_proc_grp_lbl
-#' @param test_sas_processed_data_loc this is for testing, only assign value when you wnat to test.
-#'     Otherwise leave it NA. When testing assign the location of sas pre processed prof_clm data.
+#' @param test_sas_processed_data_loc this is for testing, only assign value when you want to test,
+#'     eg. compare the processing results with SAS code Zhaohui Fan created.
+#'     Otherwise leave it NA. When testing, assign the location of sas pre processed prof_clm data.
 #'     eg. "/Volumes/George_Surgeon_Projects/medicare_data/sample_npct_std/prof_clm.sas7bdat"
 #'
 #' @return

R/professionals.R

@@ -1,15 +1,18 @@
-#' Read in physicains npi data
+#' Read in physicians npi data
 #' @description  used in step3_professional
 #'      combine all years physician to one dataset and delete who have missing NPI
 #'
 #' @param year  year of medicare data
 #' @param data_file_name  original medicare dataset names
-#' @param schema  defined in csv file. defult is "professional"
+#' @param schema  defined in csv file. default is "professional"
 #' @param src_root  locations of carrier line on database
 #' @param mapping_data: select medicare original vars to mapped vars
 #'
 #' @return combined physician NPI across years
 #' @export
+#' @details 1.read all NPIs info across years from carrier line file
+#'     2. rename NPI variable
+#'     3. Combine all NPIs and delete NA values
 #'
 #' @examples
 professionals <- function(year, data_file_name, schema, src_root, mapping_data = import_mapping) {