diff --git a/README.md b/README.md
index 4a1056b..1d229a2 100644
--- a/README.md
+++ b/README.md
@@ -52,7 +52,7 @@ records, so no pre-processing of metadata csv is needed.
 THIS LINE:
     ```format redcap_repeat_instrument redcap_repeat_instrument_.;```
 1. Run the RECapRITS macro definitions in the source editor or using `%include`.
-1. Run the macro call `%REDCAP_READ_DATA_DICT()` to load the data dictionry into your SAS session, pointing to the file location of your REDCap data dictionary.
+1. Run the macro call `%REDCAP_READ_DATA_DICT()` to load the data dictionary into your SAS session, pointing to the file location of your REDCap data dictionary.
 1. Run the macro call `%REDCAP_SPLIT()`. You will have an output dataset for
 your main table as well as for each repeating instrument.
 
diff --git a/REDCap_split.r b/REDCap_split.r
index 6f35fb5..a7fbbf6 100644
--- a/REDCap_split.r
+++ b/REDCap_split.r
@@ -4,8 +4,8 @@
 #' and give individual tables for each repeating instrument. Metadata
 #' is used to determine which fields should be included in each resultant table.
 #'
-#' @param records data.frame containing the records
-#' @param metadata data.frame containing the metadata
+#' @param records \code{data.frame} containing project records
+#' @param metadata \code{data.frame} containing project metadata (the data dictionary)
 #' @author Paul W. Egeler, M.S., GStat
 #' @examples
 #' \dontrun{
@@ -35,9 +35,11 @@
 #'     returnFormat = 'json'
 #' )
 #'
+#' # Convert JSON to data.frames
 #' records <- fromJSON(result.record)
 #' metadata <- fromJSON(result.meta)
 #'
+#' # Split the data.frame into a list of data.frames
 #' REDCap_split(records, metadata)
 #' }
 #' @return a list of data.frames
diff --git a/REDCap_split.sas b/REDCap_split.sas
index 727e62d..690f455 100644
--- a/REDCap_split.sas
+++ b/REDCap_split.sas
@@ -21,13 +21,13 @@
 *      format redcap_repeat_instrument redcap_repeat_instrument_.;
 *
 * 2. Download the data dictionary for your project.
-
+*
 * 3. Run the macro definitions REDCAP_READ_DATA_DICT and REDCAP_SPLIT
 *
-* 3. Run the macro call for REDCAP_READ_DATA_DICT to load in the data dictionry.
+* 4. Run the macro call for REDCAP_READ_DATA_DICT to load in the data dictionry.
 *    This is necessary to split the tables correctly.
 * 
-* 4. Run the macro call for REDCAP_SPLIT. You will have an output dataset for
+* 5. Run the macro call for REDCAP_SPLIT. You will have an output dataset for
 *    your main table as well as for each repeating instrument.
 *
 ********************************************************************************/
@@ -44,7 +44,7 @@
 
             IF FIELD_TYPE EQ "descriptive" THEN DELETE;
 
-            DROP SECTION_HEADER X1-X14;
+            DROP SECTION_HEADER FIELD_TYPE X1-X14;
                 
         RUN;
 
@@ -53,7 +53,7 @@
 
 %MACRO REDCAP_SPLIT(
     DATA_DICTIONARY = REDCAP_DATA_DICTIONARY  /* The name of the SAS dataset of the data dictionary */, 
-    DATA_SET = REDCAP/* The name of the SAS dataset created by REDCap */,
+    DATA_SET = REDCAP /* The name of the SAS dataset created by REDCap */,
     KEY = RECORD_ID  /* Variable that links base table with other tables */
 );