hi,
I was trying to apply format in the proc report. But the order is not applied to the output. Below is my code.Please help.
proc format;
value $NAME
"0"= "Age (yrs)"
"1" = " Number"
"2" = " Mean(SD)"
"3" = " Median"
"4" = " Min : Max"
"5" = "Age group (yrs), N (%)"
"6" = " <50"
"7" = " 50-59"
"8" = " 60-64"
"9" = " >=65"
"10" = "Gender, N (%)"
"11" = " Female"
"12" = " Male"
"13" = " U"
"14" = "Race, N (%)"
"15" = " Black"
"16" = " Asian/Oriental"
"17" = " Causasian"
"18" = " Other";
run;
proc report data = dm nowd headline spacing = 10 split="~";
columns _NAME_ _0_3_MG_KG_IV _1_0_MG_KG_IV _2_0_MG_KG_IV _2_5_MG_KG_IV TOTAL;
define _NAME_ /display " " style(column) = [asis=on] order = formatted format = $NAME.;
define _0_3_MG_KG_IV/display "0.3 mg/kg~IV~(N=&cnt1)" center;
define _1_0_MG_KG_IV/display "1.0 mg/kg~IV~(N=&cnt2)" center;
define _2_0_MG_KG_IV/display "2.0 mg/kg~IV~(N=&cnt3)" center;
define _2_5_MG_KG_IV/display "2.5 mg/kg~IV~(N=&cnt4)" center;
define TOTAL/display "Total~IV~(N=&cnt5)" center;
run;
Thanks
Order is not applied because you have put the numbers as character. You have two options, you can sort the data using proc sort with the option of treating character as number:
proc sort data=have out=want sortseq=linguistic(Numeric_Collation=ON);
And then set order=data in your proc report. Or preferably, make your _name _ variable numeric (and as that is a SAS created variable possible from a means or transpose or something, fix it before that), then your proc format would be:
proc format; value $NAME 0= "Age (yrs)" 1 = " Number" 2 = " Mean(SD)" ... run;
And it will sort correctly.
Thanks for your solution.
But im having a doubt.
which datset we need to take in proc sort data
hi,
I'm getting the following error. Please help.
proc sort data = dm out=want;
780 sortseq=linguistic(Numeric_Collation=ON);
----
180
ERROR 180-322: Statement is not valid or it is used out of proper order.
781 run;
NOTE: The SAS System stopped processing this step because of errors.
WARNING: The data set WORK.WANT may be incomplete. When this step was stopped there were 0 observations and 0 variables.
WARNING: Data set WORK.WANT was not replaced because this step was stopped.
NOTE: PROCEDURE SORT used (Total process time):
real time 0.00 seconds
cpu time 0.00 seconds
As I said, I recommend not doing it this way. However:
proc sort data=dm sortseq=linguistic(Numeric_Collation=ON);
by _name_;
run;
proc report data = dm nowd headline spacing = 10 split="~";
columns _NAME_ _0_3_MG_KG_IV _1_0_MG_KG_IV _2_0_MG_KG_IV _2_5_MG_KG_IV TOTAL;
define _NAME_ /display " " style(column) = [asis=on] order = data format = $NAME.;
define _0_3_MG_KG_IV/display "0.3 mg/kg~IV~(N=&cnt1)" center;
define _1_0_MG_KG_IV/display "1.0 mg/kg~IV~(N=&cnt2)" center;
define _2_0_MG_KG_IV/display "2.0 mg/kg~IV~(N=&cnt3)" center;
define _2_5_MG_KG_IV/display "2.5 mg/kg~IV~(N=&cnt4)" center;
define TOTAL/display "Total~IV~(N=&cnt5)" center;
run;
Order is not applied because you have put the numbers as character. You have two options, you can sort the data using proc sort with the option of treating character as number:
proc sort data=have out=want sortseq=linguistic(Numeric_Collation=ON);
And then set order=data in your proc report. Or preferably, make your _name _ variable numeric (and as that is a SAS created variable possible from a means or transpose or something, fix it before that), then your proc format would be:
proc format; value $NAME 0= "Age (yrs)" 1 = " Number" 2 = " Mean(SD)" ... run;
And it will sort correctly.
hi,
The output I'm getting is as below in which order of the observations is not according to the format. Please help.
Age (yrs) | |||||
Number | 3 | 5 | 5 | 2 | 15 |
Mean (SD) | 49.0(11.8) | 61.4( 8.2) | 61.4( 6.7) | 51.0( 7.1) | 57.5( 9.4) |
Median | 46.0 | 59.0 | 63.0 | 51.0 | 58.0 |
Min : Max | 39:62 | 52:74 | 53:68 | 46:56 | 39:74 |
Age group (yrs), N(%) | |||||
50-59 | 3( 60.0%) | 2( 40.0%) | 1( 50.0%) | 6( 40.0%) | |
60-64 | 1( 33.3%) | 1( 20.0%) | 1( 20.0%) | 3( 20.0%) | |
<50 | 2( 66.7%) | 1( 50.0%) | 3( 20.0%) | ||
>=65 | 1( 20.0%) | 2( 40.0%) | 3( 20.0%) | ||
Gender, N (%) | |||||
Female | 1( 33.3%) | 3( 60.0%) | 4( 80.0%) | 2( 100.0%) | 10( 66.7%) |
Male | 2( 66.7%) | 1( 20.0%) | 1( 20.0%) | 4( 26.7%) | |
U | 1( 20.0%) | 1( 6.7%) | |||
Race, N (%) | |||||
ASIAN/ORIENTAL | 1( 33.3%) | 2( 40.0%) | 1( 50.0%) | 4( 26.7%) | |
BLACK | 2( 40.0%) | 3( 60.0%) | 5( 33.3%) | ||
CAUCASIAN | 2( 66.7%) | 3( 60.0%) | 5( 33.3%) | ||
OTHER | 1( 50.0%) | 1( 6.7%) |
Hi,
The output is displayed in this manner which is not present in format order.
<50 | 2( 66.7%) | 1( 50.0%) | 3( 20.0%) | ||
>=65 | 1( 20.0%) | 2( 40.0%) | 3( 20.0%) | ||
50-59 | 3( 60.0%) | 2( 40.0%) | 1( 50.0%) | 6( 40.0%) | |
60-64 | 1( 33.3%) | 1( 20.0%) | 1( 20.0%) | 3( 20.0%) | |
Age (yrs) | |||||
Age group (yrs), N(%) | |||||
ASIAN/ORIENTAL | 1( 33.3%) | 2( 40.0%) | 1( 50.0%) | 4( 26.7%) | |
BLACK | 2( 40.0%) | 3( 60.0%) | 5( 33.3%) | ||
CAUCASIAN | 2( 66.7%) | 3( 60.0%) | 5( 33.3%) | ||
Female | 1( 33.3%) | 3( 60.0%) | 4( 80.0%) | 2( 100.0%) | 10( 66.7%) |
Gender, N (%) | |||||
Male | 2( 66.7%) | 1( 20.0%) | 1( 20.0%) | 4( 26.7%) | |
Mean (SD) | 49.0(11.8) | 61.4( 8.2) | 61.4( 6.7) | 51.0( 7.1) | 57.5( 9.4) |
Median | 46.0 | 59.0 | 63.0 | 51.0 | 58.0 |
Min : Max | 39:62 | 52:74 | 53:68 | 46:56 | 39:74 |
Number | 3 | 5 | 5 | 2 | 15 |
OTHER | 1( 50.0%) | 1( 6.7%) | |||
Race, N (%) | |||||
U | 1( 20.0%) | 1( 6.7%) |
@srav2 wrote:
Hi,
The output is displayed in this manner which is not present in format order.
<50 2( 66.7%) 1( 50.0%) 3( 20.0%) >=65 1( 20.0%) 2( 40.0%) 3( 20.0%) 50-59 3( 60.0%) 2( 40.0%) 1( 50.0%) 6( 40.0%) 60-64 1( 33.3%) 1( 20.0%) 1( 20.0%) 3( 20.0%) Age (yrs) Age group (yrs), N(%) ASIAN/ORIENTAL 1( 33.3%) 2( 40.0%) 1( 50.0%) 4( 26.7%) BLACK 2( 40.0%) 3( 60.0%) 5( 33.3%) CAUCASIAN 2( 66.7%) 3( 60.0%) 5( 33.3%) Female 1( 33.3%) 3( 60.0%) 4( 80.0%) 2( 100.0%) 10( 66.7%) Gender, N (%) Male 2( 66.7%) 1( 20.0%) 1( 20.0%) 4( 26.7%) Mean (SD) 49.0(11.8) 61.4( 8.2) 61.4( 6.7) 51.0( 7.1) 57.5( 9.4) Median 46.0 59.0 63.0 51.0 58.0 Min : Max 39:62 52:74 53:68 46:56 39:74 Number 3 5 5 2 15 OTHER 1( 50.0%) 1( 6.7%) Race, N (%) U 1( 20.0%) 1( 6.7%)
First thing to try in is in the Proc Format to code to add (notsorted) after the name of the format.
Better to use a numeric not character variable to order the values. If you use the internal order of a variable that is character then "11" comes before "2" because the first character "1" comes before "2" at that is far as the sort goes.
Or change your character order variables and the associated so that the order is correct "01" not "1" then "11" comes after "02" through "09" because the "0" comes before the first "1".
Provide some test data in the form of a datastep. And show what code you are running. I can't guess what the problem is.
hi,
I'm having the data like the table. I want to change the observations order of first column.
I need the order like below.
Age (yrs)
Number
Mean (SD)
Median
Min : Max
Age group (yrs), N (%)
<50
50-59
60-64
>=65
Gender, N (%)
Female
Male
U
Race, N (%)
Black
Asian/Oriental
Caucasian
Other
Age (yrs) | |||||
Number | 3 | 5 | 5 | 2 | 15 |
Mean (SD) | 49.0(11.8) | 61.4( 8.2) | 61.4( 6.7) | 51.0( 7.1) | 57.5( 9.4) |
Median | 46.0 | 59.0 | 63.0 | 51.0 | 58.0 |
Min : Max | 39:62 | 52:74 | 53:68 | 46:56 | 39:74 |
Age group (yrs), N(%) | |||||
50-59 | 3( 60.0%) | 2( 40.0%) | 1( 50.0%) | 6( 40.0%) | |
60-64 | 1( 33.3%) | 1( 20.0%) | 1( 20.0%) | 3( 20.0%) | |
<50 | 2( 66.7%) | 1( 50.0%) | 3( 20.0%) | ||
>=65 | 1( 20.0%) | 2( 40.0%) | 3( 20.0%) | ||
Gender, N (%) | |||||
Female | 1( 33.3%) | 3( 60.0%) | 4( 80.0%) | 2( 100.0%) | 10( 66.7%) |
Male | 2( 66.7%) | 1( 20.0%) | 1( 20.0%) | 4( 26.7%) | |
U | 1( 20.0%) | 1( 6.7%) | |||
Race, N (%) | |||||
ASIAN/ORIENTAL | 1( 33.3%) | 2( 40.0%) | 1( 50.0%) | 4( 26.7%) | |
BLACK | 2( 40.0%) | 3( 60.0%) | 5( 33.3%) | ||
CAUCASIAN | 2( 66.7%) | 3( 60.0%) | 5( 33.3%) | ||
OTHER | 1( 50.0%) | 1( 6.7%) |
Hi,
Can anyone please explain how to change the order of observations in proc report.
I tried creating format and applied in proc report. But it is not working.
I need the _NAME_ variable to be displayed in the order that is mentioned in the format.
proc format;
value $NAME
"0"= "Age (yrs)"
"1" = " Number"
"2" = " Mean(SD)"
"3" = " Median"
"4" = " Min : Max"
"5" = "Age group (yrs), N (%)"
"6" = " <50"
"7" = " 50-59"
"8" = " 60-64"
"9" = " >=65"
"10" = "Gender, N (%)"
"11" = " Female"
"12" = " Male"
"13" = " U"
"14" = "Race, N (%)"
"15" = " Black"
"16" = " Asian/Oriental"
"17" = " Causasian"
"18" = " Other";
run;
proc report data = dm nowd headline spacing = 10 split="~";
columns _NAME_ _0_3_MG_KG_IV _1_0_MG_KG_IV _2_0_MG_KG_IV _2_5_MG_KG_IV TOTAL;
define _NAME_ /display " " style(column) = [asis=on] order = formatted format = $NAME.;
define _0_3_MG_KG_IV/display "0.3 mg/kg~IV~(N=&cnt1)" center;
define _1_0_MG_KG_IV/display "1.0 mg/kg~IV~(N=&cnt2)" center;
define _2_0_MG_KG_IV/display "2.0 mg/kg~IV~(N=&cnt3)" center;
define _2_5_MG_KG_IV/display "2.5 mg/kg~IV~(N=&cnt4)" center;
define TOTAL/display "Total~IV~(N=&cnt5)" center;
run;
Thanks
Thanks
Hello @srav2,
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hi,
The sample data is as below. In the final report i need to change the order of the observations in the variable race$.
data out. dm;
length region$ 15 ethnicity$ 25 Trtgrp$ 20;
input studyid$ age height weight BSA region$ sex$ race$ ethnicity$ Trtgrp$;
datalines;
001 50 112 60 2.3 NorthAmerica Men White Caucasian Trt1
002 66 123 62 2.1 NorthAmerica Women White AfricanAmerican Trt1
003 68 136 55 2.6 Europe Women Black Caucasian Trt1
004 70 128 69 1.9 Europe Men White Latino Trt1
005 78 130 74 1.6 NorthAmerica Men White Caucasian Trt1
006 76 124 66 1.8 Europe Women Black AfricanAmerican Trt2
007 77 126 64 2.4 Europe Men Black Caucasian Trt2
008 65 122 70 1.5 NorthAmerica Men White AfricanAmerican Trt1
009 67 132 73 1.3 Europe Men White Caucasian Trt1
010 69 128 76 1.4 NorthAmerica Women Black Caucasian Trt2
;
run;
proc report data = out.Demographics nowd headline spacing = 10;
columns _NAME_ trt1 trt2 total;
define _NAME_ /display " " center;
define trt1 /display "TRT1" center;
define trt2 /display "TRT2" center;
define total/display "Total" center;
run;
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