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...- > Values A B C ... 200 1 7 10 7 2 7 8 7 3 10 8 7 4 8 7 10 . . . 1000 For column A : I calculate the frequency for the 3 values as follows : count7 <- length(which(Values$A == 7)) count8 <- length(which(Values$A == 8)) count10 <- length(which(Values$A == 10)) count7 = 2, count8 = 1 , count10= 1. Then, I create a vector and type the frequencies manually : Freq<- c( count7=2 ,count8= 1,count10=1) Then I apply the function maf () :- maf(Freq) This gives me the...

...t; >> 4 8 7 10 >> >> . >> >> . >> >> . >> >> 1000 >> >> >> For column A : I calculate the frequency for the 3 values as follows : >> >> count7 <- length(which(Values$A == 7)) >> >> count8 <- length(which(Values$A == 8)) >> >> count10 <- length(which(Values$A == 10)) >> >> >> count7 = 2, count8 = 1 , count10= 1. >> >> >> Then, I create a vector and type the frequencies manually : >> >> >> Freq<- c( count7=2...

...is :- > Values A B C ... 200 1 7 10 7 2 7 8 7 3 10 8 7 4 8 7 10 . . . For column A : I calculate the frequency for the 3 values as follows : count7 <- length(which(Values$A == 7)) count8 <- length(which(Values$A == 8)) count10 <- length(which(Values$A == 10)) count7 = 2, count8 = 1 , count10= 1. Then, I create a vector and type the frequencies manually : Freq<- c( count7=2 ,count8= 1,count10=1) Then I apply the function maf () :- maf(Freq) This gives me the...

...to calculate the power of the logrank test for different values of rho .I was just wandering whether the following programme would do it. any suggestions are welcome s=50 number=1 count1=0;count2=0;count3=0;count4=0;count5=0;count6=0;count7=0;count7=0; count8=0;count9=0 while(s!=0){ n=20 n1=n/2 n2=n/4 a11=1 ;a12=1.4 ;a21=16 ;a22=a12 * a21 t1<-array(1,c(n1)) t2<-array(2,c(n1)) treatgrp=matrix(c(t1,t2))...

my program given below can some one make it presentable. I trying to simulate survival data and calculate the power. I think i could have done better. s=10 number=0 count1=0;count2=0;count3=0;count4=0;count5=0;count6=0;count7=0;count8=0; count9=0; count11=0;count22=0;count33=0;count44=0;count55=0;count66=0;count77=0; count88=0;count99=0; while(s!=0){ n=100 n1=n/2 n2=n/4 t1<-array(1,c(n1)) t2<-array(2,c(n1)) treatgrp=matrix(c(t1,t2))...

...7 8 7 > > 3 10 8 7 > > 4 8 7 10 > > . > > . > > . > > > > > For column A : I calculate the frequency for the 3 values as follows : > > count7 <- length(which(Values$A == 7)) > > count8 <- length(which(Values$A == 8)) > > count10 <- length(which(Values$A == 10)) > > > count7 = 2, count8 = 1 , count10= 1. > > > Then, I create a vector and type the frequencies manually : > > > Freq<- c( count7=2 ,count8= 1,count10=1) > > &gt...

...>> 4 8 7 10 >> >> . >> >> . >> >> . >> >> >> >> >> For column A : I calculate the frequency for the 3 values as follows : >> >> count7 <- length(which(Values$A == 7)) >> >> count8 <- length(which(Values$A == 8)) >> >> count10 <- length(which(Values$A == 10)) >> >> >> count7 = 2, count8 = 1 , count10= 1. >> >> >> Then, I create a vector and type the frequencies manually : >> >> >> Freq<- c( cou...