From 0c8ac19dc64dd9e0a2b3c8f0a75398b66ae1cc5b Mon Sep 17 00:00:00 2001
From: Rosemary <yli110@horizon.csueastbay.edu>
Date: Fri, 28 Sep 2018 21:07:19 -0700
Subject: [PATCH 1/2] indentations

---
 ...18-team-2_project1_data_analysis_by_YL.sas | 102 +++++++++---------
 1 file changed, 51 insertions(+), 51 deletions(-)

diff --git a/STAT660-01_f18-team-2_project1_data_analysis_by_YL.sas b/STAT660-01_f18-team-2_project1_data_analysis_by_YL.sas
index 04a6cff..dbaaf43 100644
--- a/STAT660-01_f18-team-2_project1_data_analysis_by_YL.sas
+++ b/STAT660-01_f18-team-2_project1_data_analysis_by_YL.sas
@@ -58,35 +58,35 @@ Follow-up Steps: use a CLASS statement in PROC MEANS to get the summary
 statistics for each employee
 ;
 proc means 
-    	mean median maxdec=2
-    	data = absenteeism_analytic_file
-	;
+        mean median maxdec=2
+        data = absenteeism_analytic_file
+    ;
     var 
-		Absenteeism_time_in_hours
-	;
+        Absenteeism_time_in_hours
+    ;
 run;
 
 
 proc univariate 
-		noprint
-		data=absenteeism_analytic_file
-	;
+        noprint
+        data=absenteeism_analytic_file
+    ;
     var 
-		Absenteeism_time_in_hours
-	;
-	histogram;
+        Absenteeism_time_in_hours
+    ;
+    histogram;
 run;
 
 proc means 
-		mean median maxdec=2
-		data=absenteeism_analytic_file
-	;
+        mean median maxdec=2
+        data=absenteeism_analytic_file
+    ;
     class 
-		id
-	;
-	var 
-		Absenteeism_time_in_hours
-	;
+        id
+    ;
+    var 
+        Absenteeism_time_in_hours
+    ;
 run;
 
 title;
@@ -125,16 +125,16 @@ create a subset of the dataset, which only has the 36 employees with a binary
 variable to indicate if he or she is ever absent.
 ;
 proc logistic 
-		data=Absenteeism_analytic_file
-	;
-	model absence = Work_load_Average_day
-	;
+        data=Absenteeism_analytic_file
+    ;
+    model absence = Work_load_Average_day
+    ;
 run;
 
 proc glm 
-	;
-	model absenteeism_time_in_hours = Work_load_Average_day
-	;
+    ;
+    model absenteeism_time_in_hours = Work_load_Average_day
+    ;
 run;
 
 title;
@@ -174,37 +174,37 @@ compare the histograms between workers -- data visualizaion often helps to
 quickly identify the change.
 ;
 proc freq 
-		data = Absenteeism_analytic_file
-	;
-	tables 
-		id*reason_for_absence 
-		/ nopercent norow nocol
-	;
-	format 
-		reason_for_absence reasonofabsence.;
+        data = Absenteeism_analytic_file
+    ;
+    tables 
+        id*reason_for_absence 
+        / nopercent norow nocol
+    ;
+    format 
+        reason_for_absence reasonofabsence.;
 run;
 
 proc freq 
-		data = Absenteeism_analytic_file
-	;
-	tables 
-		id*reason_for_absence 
-		/nopercent norow nocol
-	;
-	where 
-		absence = 1
-	;
-	format 
-		reason_for_absence reasonofabsence.;
+        data = Absenteeism_analytic_file
+    ;
+    tables 
+        id*reason_for_absence 
+        /nopercent norow nocol
+    ;
+    where 
+        absence = 1
+    ;
+    format 
+        reason_for_absence reasonofabsence.;
 run;
 
 proc sgplot 
-		data=absenteeism_analytic_file
-	;
-	vbar 
-		ID
-	;
-	where
+        data=absenteeism_analytic_file
+    ;
+    vbar 
+        ID
+    ;
+    where
         absence = 1;
 run;
 quit;

From ef617835dd9febeb0eca5244ae5875a304882455 Mon Sep 17 00:00:00 2001
From: Rosemary <yli110@horizon.csueastbay.edu>
Date: Fri, 28 Sep 2018 21:09:55 -0700
Subject: [PATCH 2/2] indentations changed

---
 ...1_f18-team-2_project1_data_preparation.sas | 66 +++++++++----------
 1 file changed, 33 insertions(+), 33 deletions(-)

diff --git a/STAT660-01_f18-team-2_project1_data_preparation.sas b/STAT660-01_f18-team-2_project1_data_preparation.sas
index 733cd8e..eb19c18 100644
--- a/STAT660-01_f18-team-2_project1_data_preparation.sas
+++ b/STAT660-01_f18-team-2_project1_data_preparation.sas
@@ -29,36 +29,36 @@ downloaded from the UCI machine learning repository.
 *create output formats;
 proc format;
     value reasonofabsence
-		0 = 'NA'
-		1 = 'Infectious and parasitic disease'
-		2 = 'neoplasm'
-		3 = 'blood disease'
-		4 = 'endocrine disease'
-		5 = 'mental and behaviour disorder'
-		6 = 'nervous disease'
-		7 = 'eye'
-		8 = 'ear'
-		9 = 'circulatory'
-		10= 'respiratory'
-		11= 'digestive'
-		12= 'skin'
-		13= 'muscle'
-		14= 'genitourinary'
-		15= 'pregnancy'
-		16= 'perinatal'
-		17= 'congenital'
-		18= 'clinical'
-		19= 'injury'
-		20= 'morbidity and mortality'
-		21= 'factors'
-		22= 'followup'
-		23= 'medical consultation'
-		24= 'blodd donation'
-		25= 'lab'
-		26= 'unjustified'
-		27= 'physiotherapy'
-		28= 'dental'
-	;
+        0 = 'NA'
+        1 = 'Infectious and parasitic disease'
+        2 = 'neoplasm'
+        3 = 'blood disease'
+        4 = 'endocrine disease'
+        5 = 'mental and behaviour disorder'
+        6 = 'nervous disease'
+        7 = 'eye'
+        8 = 'ear'
+        9 = 'circulatory'
+        10= 'respiratory'
+        11= 'digestive'
+        12= 'skin'
+        13= 'muscle'
+        14= 'genitourinary'
+        15= 'pregnancy'
+        16= 'perinatal'
+        17= 'congenital'
+        18= 'clinical'
+        19= 'injury'
+        20= 'morbidity and mortality'
+        21= 'factors'
+        22= 'followup'
+        23= 'medical consultation'
+        24= 'blodd donation'
+        25= 'lab'
+        26= 'unjustified'
+        27= 'physiotherapy'
+        28= 'dental'
+    ;
 run;
 
 *setup environmental parameters;
@@ -104,9 +104,9 @@ https://github.com/stat660/team-2_project1/blob/master/Absenteeism_at_work.xls?r
 *check raw absenteeism_at_work dataset for duplicate records;
 proc sort
     noduprecs
-	data=Absenteeism_at_work_raw
-	dupout=Absenteeism_at_work_dups
-	out=Absenteeism_at_work_noduprecs
+    data=Absenteeism_at_work_raw
+    dupout=Absenteeism_at_work_dups
+    out=Absenteeism_at_work_noduprecs
   ;
   by
     id