Hi, I want to get all the observations where first name starts with Ro, Ay, Su OR Last name starts with Che, Ro. I know it's possible to code with Where, IF etc, but can someone help with the coding with Perl, please. Thanks. data have; infile datalines; input id First_name$8. Last_name&$8.; da...FIRST-dot and LAST-dot processing is a topic that deserves its own tutorial, but you can learn more from this article by @Rick_SAS. Tip: FIRST-dot/LAST-dot processing is a great use case for the DATA step debugger (in SAS Enterprise Guide or SAS Studio with SAS Viya). You can see exactly how it works with your DATA step logic.To accomplish, he sorted the data on multiple columns with case_id as the first criteria. Then he sorted the data again with proc sort nodupkey by case_id to return the top record for each case_id. If his original sorting criteria is correct, he will return the most impacting sub-action for each case_id.In the above example what I am lloking for is writing code to basically say: If your first observation for the customer is "C" and your last is also "C" then indicator = "PASS". but if your first observation of the flag is "C" and your last observation is "O" then your indicator = "FAIL". So the result should look like this.data uscpi_dedupedByYear; set uscpi_sorted; by year; if first.year; /*only keep the first occurence of each distinct year. */. /*if last.year; */ /*only keep the last occurence of each distinct year*/. run; A lot depends on who your input dataset is sorted. For ex: If your input dataset is sorted by year & month and you use if first.year; then ...Hi, I want to get all the observations where first name starts with Ro, Ay, Su OR Last name starts with Che, Ro. I know it's possible to code with Where, IF etc, but can someone help with the coding with Perl, please. Thanks. data have; infile datalines; input id First_name$8. Last_name&$8.; da...I have data set like below... data stansys; infile datalines; input id name&$24. sal; datalines; 101 Richard Rose 5000 102 Yao Chen Hoo 6000 103 Asha Garg Bette Long 7000 104 Jason Blue 9000 105 Susan Robert Stewart 8000 ; run; Through this dataset i want output dataset with seperating as First name and Middle name and last name...data step1; set have; date=datepart(datetime); time=timepart(datetime); format date yymmdd10. time tod5.; run; Now sort by subject date and time and then take the last one for that date. proc sort data=step1 out=want; by subject date time; run; data want; set step1; by subject date time; if last.date; run;The values of both FIRST. and LAST. variables in SAS are either 1 or 0. FIRST. variable = 1, when an observation is the first observation in a BY group. FIRST. variable = 0, when an observation is not the first observation in a BY group. LAST. variable = 1, when an observation is the last observation in a BY group.For posterity, here is how you could do it with only a data step: In order to use first. and last., you need to use a by clause, which requires sorting: proc sort data=BU; by ID DESCENDING count; run; When using a SET statement BY ID, first.ID will be equal to 1 (TRUE) on the first instance of a given ID, 0 (FALSE) for all other records.Sep 9, 2016 · Hello, I have a SAS query that has been giving me trouble for quite some time (I am using SAS 9.4). I hope that the SAS community user groups can help. I have a data set that contains ID, Location, start date, end date and the difference between the first end date and the next end date. For the ... if first.date then seq_id= 1; else seq_id+ 1; <- sum Statement. run; It is used to add the result of an expression on the right side of the '+' (here: 1) to a numeric accumulator variable on the left side of the '+' (here= seq_id). The syntax is the following: accumulator variable + expression;i want to do following step. 1. see the last day in the different optionid group. if the OTM > 0.1 then output dataA. else output dataB. 2. in dataA and dataB, the hold =absolute value of the delta. 3. , the AAA is the hold -lag (hold) at the first day in the optionid group. in dataA, the AAA is AAA+strike_price. in dataB, the AAA is remained.data step1; set have; date=datepart(datetime); time=timepart(datetime); format date yymmdd10. time tod5.; run; Now sort by subject date and time and then take the last one for that date. proc sort data=step1 out=want; by subject date time; run; data want; set step1; by subject date time; if last.date; run;Hello, I have a SAS query that has been giving me trouble for quite some time (I am using SAS 9.4). I hope that the SAS community user groups can help. I have a data set that contains ID, Location, start date, end date and the difference between the first end date and the next end date. For the ...Page 2. Method #1 - Using PROC SORT to Remove Duplicates. The first method, and one that is popular with SAS professionals everywhere, uses PROC SORT to remove duplicates. The SORT procedure supports three options for the removal of duplicates: DUPOUT=. NODUPRECS. , and. NODUPKEYS. Specifying the DUPOUT= Option.PROC REPORT honors the first of these centering specifications that it finds: the CENTER or NOCENTER option in the PROC REPORT statement or the CENTER toggle in the ROPTIONS window. the CENTER or NOCENTER option stored in the report definition that is loaded with REPORT= in the PROC REPORT statement.FIRST.VARIABLE & LAST.VARIABLE PROBLEM. What is the output you need. with the current record it will delete only the record in each cpnp group if the last in group is having plant='USM' and there are more than one record for that group. Please let us know your input and output required to help you more'.May 12, 2020 · At the very first observation of each group (identified by the internal variable first.date, which takes the value 1 in this case), seq_id is set to 1. For all the next observations of the same date, the condition 'if first.date' is false so SAS applies the 'else' statement, which results in the accumulation of seq_id's previous value + 1 -> so ... This example creates a SAS data set and executes the PRINT procedure with FIRSTOBS=2 and OBS=12. The result is 11 observations, that is (12 - 2) + 1 = 11. The result of OBS= in this situation appears to be the observation number that SAS processes last, because the output starts with observation 2, and ends with observation 12.first.by variable value is=1 for the first observation in a dataset and rest of all the by group will be =0 except last.by variable. that will be one. You can observe it by writing example. if first.sex and last.x then flag=1; Thanks. Solved: Hi all, For instance a dataset is sorted by variable X.I did find a thread on this (R equivalent of .first or .last sas operator) but it did not fully answer my question.I come from a SAS background and a common operation is, for example, when you have your patient ID with several different values, and you want to keep only the row with the minimum/maximum value for another variable for each ID.Re: Finding the first and last values. This is another example where bad data structure causes one to write unnecessarily complicated code. First, transpose your data to a long layout: ; proc transpose data=have out=long (where=(col1 ne "")); by name; var source:; run; Now the exercise becomes very simple:Re: substract/divide each row from first row. No need for a multiple TABLE if you just want to assign values to multiple VARIABLES. Below I will show a way you could keep your "matrix" shape, but it looks like you should just restructure your so that instead of multiple variables you have multiple observations.You can use the following methods to quickly concatenate strings in SAS. Method 1: Concatenate Strings with Space in Between. Method 2: Concatenate Strings with No Space in Between. Method 3: Concatenate Strings with Custom Delimiter. The following examples show how to use each method with the following dataset in SAS:You're most likely needing to use RETAIN (implicit or explicit) and FIRST/LAST processing. proc sort data=sashelp.class out=class; by sex; data want; set class; *by group specified; by sex; *keep across rows; retain max_age; *if first of each Sex group; if first.sex then max_age = age; *other records; else max_age = max(age, max_age); *if last ...When the LAG function is compiled, SAS allocates memory in a queue to hold the values of the variable that is listed in the LAG function. For example, if the variable in function LAG100 (x) is numeric with a length of 8 bytes, then the memory that is needed is 8 times 100, or 800 bytes. Therefore, the memory limit for the LAG function is based ...Corrected version. Data out; set in; by social_security_number year; if first.year then output; run; Explanation. You can have numerous by variables, and for each one first and last automatic variables are generated. In this case first.social_security_number would return only one record per social_security_number.Hear from SAS execs, best-selling author Adam Grant, Hot Ones host Sean Evans, top tech journalist Kara Swisher, AI expert Cassie Kozyrkov, and the mind-blowing dance crew iLuminate! Plus, get access to over 20 breakout sessions.I have to pull the first date & the last date of the month with the time stamps. This is what it looks like hard coded - that does work! But I don't want to change it every month. ... (%'))); libname remote sqlsrv 'connection string'; proc sql; create table sas_table as select * from connection to remote ( select entrytime from remote-table ...I am using a first. last. statement to keep IDs and create an observation counter to ensure that I am keeping only those with greater than 3 observations. When I do this, the last observation is kept, and when I try to merge this back into the data set, the first observation is overwritten by the last observation being pulled from the first. last.How SAS Determines FIRST. variable and LAST. variable. Example 1: Grouping Observations by State, City, and ZIP Code. Example 2: Grouping …Check if name has first and last name. There is a column Customer name with first and last names together. not all the values have both first and/or last names. Want to know how many of them truly have both first and last names. They are separated by spaces.How it works. FIRST.variable = 1 when an observation is the first observation in each group values of variable ID. FIRST.variable = 0 when an observation is not the first observation in each group values of variable ID. LAST.variable = 1 when an observation is the last observation in each group values of variable ID.Mar 29, 2013 · On the one hand it sounds like you want to GENERATE data based on some macro variable. If that is the case write a date step. You should be able to write the data step using data step DO looping and just set the bounds of the loops using the macro variables. data want; do c= 1 to &num_clusters; Sample 24737: Search a character expression for a string, specific character, or word. Choose appropriate INDEX function to find target strings, individual letters, or strings on word boundaries. Note: Sample 1 uses INDEX to search for the first occurrence of a 'word' anywhere in a string. If the string is not found, the result is zero.I have previously written about using the Nodupkey Option in the example page Remove Duplicates in SAS.When we examine the PROC SORT Documentation for the Nodupkey Option, we can see that: "The Nodupkey Option checks for and eliminates observations with duplicate BY values".This means that the Sort Procedure considers only the variables in the By Statement and deletes any duplicate values.SQL does not have any concept of first and last, nor in fact of observation order. You must logically find a certain row. So for instance if in a datastep you had first and last of dates within ID, and they were sorted sequentially and they were unique, the "first" row would logically be identified by date=min (date) group by id. The "last ...Use of last. and first. in SASSAS. ®. Programming 2: Data Manipulation Techniques. 2. FIRST. BY-variable. LAST. BY-variable. The BY statement creates two temporary variables (FIRST.variable ...If you want to do so with PROC SQL, this has nothing to do with first./last. logic, which is a SAS Data Step concept. proc sql; create table want as. select * from sam. group by name. having value=min(value); quit; Result: name item value. naari battary 14. nehemiah ball 20.The by statement that we used above not only caused SAS to process the data in the groups defined by the variable (famid) given on the by statement, it also caused SAS to create two temporary variables: first.famid and last.famid. Temporary variables are variables that you can use during a data step but do not appear in the new data set.Re: Extracting words from a string after a specific character. Posted 02-06-2019 03:26 PM (71856 views) | In reply to kmardinian. Use INDEX () to find the first tilda and then use that number in SUBSTR (). Double check the order of t. cm = substr (comment, index (comment, '~') +1); View solution in original post. 0 Likes.In the above example what I am lloking for is writing code to basically say: If your first observation for the customer is "C" and your last is also "C" then indicator = "PASS". but if your first observation of the flag is "C" and your last observation is "O" then your indicator = "FAIL". So the result should look like this.The DO statement, the simplest form of DO-group processing, designates a group of statements to be executed as a unit, usually as a part of IF-THEN/ELSE statements. The iterative DO statement executes statements between DO and END statements repetitively based on the value of an index variable. The DO WHILE statement executes statements in a DO ...In SAS you can easily extract characters from a string using SUBSTR() or SUBSTRN() functions.But it only works with the character variable. To extract last 4 digits or any number of digits from a numeric variable, you need to convert the input from numeric variable to character variable in order to use substr function.. You have to do this conversion but it is very straight forward.Fortunately within SAS, there are several functions that allow you to perform a fuzzy match. I'll show you the most common of these functions and then I will show you an example that uses my favorite from this list. COMPARE Function. The COMPARE function returns the position of the leftmost character by which two strings differ, or returns 0 ...Third, I think you are confusing the levels of BY variable where first. and last. operate. First. will tag any observation that is first within it's value of the specified BY-group. Since you have unique (my guess, I don't see the actual source data) values of baseline_doc/date, every row will tagged.Re: Changing the Column positions in SAS. the easiest way to change the column order, is to create it in the correct order first, then you won't have to change the order afterwards. Advice you have received on setting column order, should be applied when you create the dataset/table.Pandanggo sa Ilaw, which translates as Dance of Lights, is a waltz-style, playful folk dance that showcases a unique fusion of local and western indigenous dance forms. Originating...then First.date refers to the first player's record within the date. Also your Days calculation is probably incorrect as you are getting some days, the first days value for each team (except the first team) reflects the days between the last game of the previous team and the first of the current team. days=game_date-lag(game_date);Method 1: PROC SQL. The first method to calculate the weighted average in SAS is with PROC SQL. The code is straightforward and easy to remember. You simply write out the formula of the weighted average. That is, you take the sum of the weights multiplied by the scores, and you divide this by the sum of the weights.set Analysis; if lag (visitdate)- visitdate = 90 then laginjury = 'new'; else laginjury = 'Follow-up'; run; proc print; run; I want to. 1. subset my injuries : (an injury is new if there were no previous visits with an injury within 90 days..otherwise it's a follow up) 2. Be able to mark each injury as being "new" or "follow up".Re: How to Swap first and last record using Temporary Arrays. If you have more than 2 obs. in the dataset, this one works too: ; run; proc print; run; data want; do point=nobs,2 to nobs-1,1; set list point=point nobs=nobs; output; end; Bart.May 3, 2017 · num_colds = sum(0,has_cold); end; keep family_id month num_colds; run; Basically the FIRST/LAST flags for the last variable in the BY statement will change the most often since it changes both with the value of that variable changes but also when any of the variables before it changes. 0 Likes. Reply. zdblizar. Apr 15, 2020 · Conditional first. & last. Posted 04-14-2020 10:55 PM (961 views) Hi 🙂. I want to create a conditional variable (outcome) based on accident_id and road_user_type: - if anyone in an accident was a vulnerable road user > then outcome = 1; - else if everyone in an accident was a MVO > then outcome = 2; - else outcome = 3. Column position of variables is based on the order SAS first sees them, you can search and read more about variable order in SAS. One option (probably not the best, but it works) is to read your dataset in and use format statement before data set mane. Here you can put all variable names in order you want to see them in final dataset (but be …I have the following data. I sorted it by ID and date. How can I get the first date for each patient but if there is a missing value in the location column, I want the next non-missing value? data fake_data; input patID $ date monyy6. location $ outcome ; format date monyy.; datalines; 1693 Dec-14 ....Hi all! I am having trouble using array, first., and last. to create only one observation and multiple variables per subject. The data set has 18,082 observations with 3 variables: ID_NO, SYMPTOM_NO, and SYMPTOM. I need to keep the id_no variable and lose the symptom_no and symptom variables yet cre...would be or even what the last variable in the list would be when the code was written. In the above example for &pggrp = 016_017 the string FIRST.&&KEY&KEYCNT resolves to FIRST.OCC1. Since there are three variables in the BY statement, &KEYCNT is 3, and &KEY3 is OCC1. BUILDING FROM A SAS DATA SET Often the information needed to construct theRe: Finding the first and last values. This is another example where bad data structure causes one to write unnecessarily complicated code. First, transpose your data to a long layout: ; proc transpose data=have out=long (where=(col1 ne "")); by name; var source:; run; Now the exercise becomes very simple:Whenever a SAS dataset is sorted, the BY variables are assigned “FIRST.”/”LAST.” expressions that represent a single numeric value that you can use in a SAS program to …