Hello, I would like some help with this question: The data contains S&P rating information for around 15,000 companies at the beginning as well as end of the year 2015. PID: a serial number representing company ID; Rating2015_B: S&P rating at the beginning of the year 2015; Rating2015_E: S&P rating at the end of the year 2015, “D” means company defaults at the end of year Use the nonparametric bootstrap method (exclude the defaults) to generate 95% confidence intervals for default rates of each rating category. Explore the relationship between the length of CIs and number of bootstrap samples and confidence level. I have this code: proc surveyselect data=Mylib.LoanData method=SRS n=100 reps=100 seed=9999 out=Mylib.LoanDataBootStrapCor;run; proc corr data=Mylib.LoanDataBootStrapCor; by replicate;var Rating_2015B; ods output PearsonCorr=Mylib.BootStrapPearsonCorr; run; data Mylib.BootStrapPearsonCorr1; set Mylib.BootStrapPearsonCorr; by replicate; if first.replicate then delete; run; proc univariate data=Mylib.BootStrapPearsonCorr1 pctldef=4; var Rating_2015B; output out=Mylib.BootStrapCorCI pctlpts=&pctlpts. pctlpre=pct_; run; proc print data=Mylib.BootStrapCorCI; run; I would like to get some help and understand where I am going wrong and if this code is correct for this particular question. When i run the code, i'm getting error as sas is not recognizing BootStrapPearsonCorr1 and BootStrapCorCI Thank you!
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