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Reading space delimited text file into SAS
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Closed 2 years ago.
I have a SAS table that looks something like that:
Mark Country Type Count Price
1 Mark1 Country1 type1 1 1.50
2 Mark1 Country1 type2 5 21.00
3 Mark1 Country1 type3 NA NA
4 Mark2 Country2 type1 2 197.50
5 Mark2 Country2 type2 2 201.00
6 Mark2 Country2 type3 1 312.50
I need to print two-dimentional statistics:
Country1 Country2
Type1 ... ...
Type2 ... ...
Type3 ... ...
where each sell looks like: price_max(count_sum)
Getting price_max in the cell is quite easy with proc tabulate
proc tabulate data=final_cars format=5.;
class type country;
var price count;
table type, country*price*max;
run;
But the question is how to put (count_sum) in each cell as well?
If I understand the question correctly, you can simply use PROC SQL:
proc sql;
create table output as select distinct type,country,
put(max(price),5.)||'('||put(sum(count),5.)||')' as price_count from have
group by type,country
order by type;
quit;
proc transpose data=output out=output1;
by type;
id country;
var price_count;
run;
proc print data=output1(drop=_name_) noobs;
run;
Related
I have two datasets. Both have a common column- ID. I would like to check if ID from df1 lies in df2 and extract all such rows from df1. I'm doing this in SAS.
It is easily done in one sql query.
proc sql;
create table extract_from_df1 as
select
*
from
df1
where
id in (select id from df2)
;
quit;
There are lots of ways to do this. For example:
proc sql;
create table compare as select distinct
a.id as id1, b.id as id2
from table1 as a
left join table2 as b
on a.id = b.id;
quit;
and then keep matches. Or you can try:
proc sql;
delete from table2 where id2 in select distinct id1 from table1;
quit;
data df1;
input id name $;
cards;
1 abc
2 cde
3 fgh
4 ijk
;
run;
data df2;
input id address $;
cards;
1 abc
2 cde
5 ggh
6 ihh
7 jjj
;
run;
data c;
merge df1(in=x) df2(in=y);
if x and y;
keep id name;
run;
proc print data=c;
run;
I'm using this SAS code:
data test1;
input cust_id $
month
category $
status $;
datalines;
A 200003 ABC C
A 200004 DEF C
A 200006 XYZ 3
B 199910 ASD X
B 199912 ASD C
;
quit;
proc sql;
create view test2 as
select cust_id, input(put(month, 6.), yymmn6.) as month format date9.,
category, status from test1 order by cust_id, month asc;
quit;
proc expand data=test2 out=test3 to=month method=none;
by cust_id;
id month;
quit;
proc print data=test3;
title "after expand";
quit;
and I want to create a dataset that looks like this:
Obs cust_id month category status
1 A 01MAR2000 ABC C
2 A 01APR2000 DEF C
3 A 01MAY2000 . .
4 A 01JUN2000 XYZ 3
5 B 01OCT1999 ASD X
6 B 01NOV1999 . .
7 B 01DEC1999 ASD C
but the output from proc expand just says "Nothing to do. The data set WORK.TEST3 has 0 observations and 0 variables." I don't want/need to change the frequency of the data, just interpolate it with missing values.
What am I doing wrong here? I think proc expand is the correct procedure to use, based on this example and the documentation, but for whatever reason it doesn't create the data.
You need to add a VAR statement. Unfortunately, the variables need to be numeric. So just expand the month by cust_id. Then join back the original values.
proc expand data=test2 out=test3 to=month ;
by cust_id;
id month;
var _numeric_;
quit;
proc sql noprint;
create table test4 as
select a.*,
b.category,
b.status
from test3 as a
left join
test2 as b
on a.cust_id = b.cust_id
and a.month = b.month;
quit;
proc print data=test4;
title "after expand";
quit;
I want to find the mean of following datalines;
the way I am trying, I am getting the mean based on no. of observation which in this case is 6. But I want it based on Day so it comes something like Mean = Timeread/(no. of day) which is 3
name Day Timeread
X 1 12
X 1 23
X 1 12
X 2 8
X 2 5
X 3 3
This is the code I used
proc summary data = xyz nway missing;
class Name;
var timeread;
output out = Average mean=;
run;
proc print data = Average;
run;
I'm not sure how to do this with proc mean but you can do this in SQL like so:
proc sql noprint;
create table want as
select name,
sum(timeread) / count(distinct day) as daily_mean
from have
group by name
;
quit;
This uses the HAVE dataset from #CarolinaJay65's answer.
If you are just wanting the mean of total timeread by total distinct days
Data HAVE;
Input name $ Day Timeread ;
Datalines;
X 1 12
X 1 23
X 1 12
X 2 8
X 2 5
X 3 3
;
Run;
Proc Sql;
Create table WANT as
Select Name, (select count(distinct(Day)) from HAVE) as DAYS
, sum(timeread) as TIMEREAD_TOTAL
, calculated timeread_total/calculated days as MEAN
From HAVE
Group by Name;
Quit;
I have a dataset that has columns like:
a|b|c|d|e
and rows like:
1|3|5|7|9
2|4|6|8|10
How to change it to:
Char|Num|
a|1
a|2
b|3
b|4
c|5
c|6
d|7
d|8
e|9
e|10
Thank you in advance!
You can use PROC TRANSPOSE. The only gotcha is to get what you want you need a BY variable. Easiest thing is to add a record number and use that as your BY.
data have;
input a b c d;
i = _n_;
datalines;
1 2 3 4
5 6 7 8
;
run;
proc transpose data=have out=want(drop=i);
by i;
var a b c d;
run;
I have one column of data and the column is named (Daily_Mileage). I have 15 different types of daily mileages and 250 rows. I want a separate count for each of the 15 daily mileages. I am using PROC SQL in SAS and it does not like the Cross join command. I am not really sure what I should do but this is what I started:
PROC SQL;
select A, B
From (select count(Daily_Mileage) as A from Work.full where Daily_Mileage = 'Farm Utility Vehicle (Class 7)') a
cross join (select count(Daily_Mileage) as B from Work.full where Daily_Mileage = 'Farm Truck Light (Class 35)') b);
QUIT;
Use case statements to define your counts as below.
proc sql;
create table submit as
select sum(case when Daily_Mileage = 'Farm Utility Vehicle (Class 7)'
then 1 else 0 end) as A,
sum(case when Daily_Mileage = 'Farm Truck Light (Class 35)'
then 1 else 0 end) as B
from Work.full
;
quit ;
Can't you just use a proc freq?
data example ;
input #1 Daily_Mileages $5. ;
datalines ;
TYPE1
TYPE1
TYPE2
TYPE3
TYPE3
TYPE3
TYPE3
;
run ;
proc freq data = example ;
table Daily_Mileages ;
run ;
/* Create an output dataset */
proc freq data = example ;
table Daily_Mileages /out=f_example ;
run ;
You can first create another column of ones, then SUM that column and GROUP BY Daily_Mileage. Let me know if I'm misunderstanding your questions.
PROC SQL;
CREATE TABLE tab1 AS
SELECT Daily_Mileage, 1 AS Count, SUM(Count) AS Sum
FROM <Whatever table your data is in>
GROUP BY Daily_Mileage;
QUIT;