sashelp

1: change log output to the specified external file Log is usually output in the log window. The default output location can be changed using the printto process. Proc printto log = "D: \ log.txt" New; * output the log to the specified file. "New" indicates that the previous file is overwritten. For more information, see the help document; proc print data = sashelp. class; proc printto; run; * Restore Default log output; 2: Change output to the specif

statement. The accumulate statement can be considered as a special case of retain. Keep, drop statement "unexecutable statement" TIPS: (the difference between the keep option and the keep Statement) Data A1; Set sashelp. class (keep = Name sex);/* keep name sex; */* if you use the keep statement instead of the keep option, then, PDV reads all the variables first and then retains the variables to be retained. With the keep = option, it can keep the v

Verify Code Description: Set Sashelp. Class Table upload SQL Server Upper Libname x oledb provider = Sqloledb DSN = ' Sastest ' Properties = ( " Integrated Security " = Sspi " Persist Security info " = True " Initial catalog " = Northwind );Proc SQL;Create Table X. Class As Select * From sashelp. Class Where Age > 10 ;Quit; 5 C

printto log = "C: \ test.txt ";Run;-- Your program ---;* ** Point the log to its default destination;Proc printto; run; (2) settings for not generating logs: You can do,Proc printto log = _ null _;Run;Proc print data = sashelp. Class;Run;% Put 'not thing show '_ all _;Proc printto log = log;Run;Proc print data = sashelp. Class;Run;% Put _ all _; (3) If no log is generated, run: Options nosource nonotes e

proc's overall grammatical structure is as follows: Proc Rank var variable;Ranks new variable name;by grouping variables;Run This is a whole grammatical structure, for example, I want to rank the height of the sashelp in: Proc Rank Data=sashelp.class Out=result;var height;RunThis is clearly the case, with Var to specify the position of the variable, but you run the program will find a problem, that is the original height of the value is replaced. If

%doi=1%tocount; %letifn=%scan(%quote(SYSPBUFF),%eval(i*2)); %letvaluen=%scan(%quote(SYSPBUFF),%eval(i*2+1)); whenifnthenvaluen %end; %if%eval(countall>(count+1))%then%do; %letvalueelse=%scan(%quote(SYSPBUFF),countall); elsevalueelse %end; end %mend; The calling code is as follows, which is basically the same as the calling method and function implementation of oracle. Proc SQL; Create table test Select % Decode (sex, "male", 0, "female", 1, 2) As

If statement Data B; Set sashelp. class; if _ n _ le 4; * If the IF is true, continue to execute the statement after the if statement, and finally output the observation that meets the if condition, if false, the system immediately returns to the beginning of the Data step and continues executing the next set statement; y = 'now ';/*Y = 'now ';If _ n _ le 4; the same result can also be obtained, but the efficiency is relatively low, because the value

exclude IF Sex = ' F '; IF Sex = ' m ' then DELETE; function like!Data b; Set sashelp.class; If _n_ le 4; * If true, continue execution of the statement after the IF, and finally output an observation that satisfies the if condition, and if False then immediately returns to the beginning of data step to proceed with the next Set statement; y = ' Now ';/*y = ' now ';If _n_ le 4; the same result can be obtained, but the efficiency is relatively low, because the assignment statement of Y

Theory and formula please see Andrew Ng's machine learning in the NetEase public class, or the machine learning of Andrew Ng in CourseraFor multivariate linear regression to fit the best straight line, in order to make the error squared and the smallest, the method on the textbook is to seek the bias, and make it 0, and then solve the linear equation group.But there are many other ways to achieve this, and Andrew gives two methods of gradient descent in the case of large samples and small sample

, address, city, state, ZipCode from Sasuser.frequentflyers;reset Nonumber; Select name, address, city, state, ZipCode from sasuser.frequentflyers where 7000 and the ; quit;Data dictionaryDictionary tables is special, read-only SAS tables that contain information about SAS data Libraries, SAS macros, and external files that is in use or available in the current SAS sess Ion.Dictionary tables also contain the settings for SAS system options and SAS titles and footnotes that is currently in ef