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...t;Day") *T1 <- (0.205)*dataT1$D + (0.195)*dataT1$T + 0.227* #DO I SUB IN MY EQUATION HERE?# p.average1 <- exp(T1) / (1 + exp(T1)) I1 <- order(dataT1$D) lines(dataT1$D[I1],p.average1[I1],lwd=2, col="red") p.Upp1 <- exp(T1 + 1.96*0.19215)/(1+exp(T1 + 1.96*0.19215)) p.Low1 <- exp(T1 - 1.96*0.19215)/(1+exp(T1 - 1.96*0.19215)) lines(dataT1$D[I1], p.Upp1[I1], col="red") lines(dataT1$D[I1], p.Low1[I1], col="red") I am supposed to draw a graph where I fix D and T and draw P against D. How am I supposed to do that??? -- View this message in c...

...n UPM Malaysia n1<-15 miu<-0 sd1<-1 data1<-rnorm(n1,miu,sd1) ## data transformation as G=0.5 and h=0.5 (data is normal) G<-0.5 h<-0.5 w<-((exp(G*data1)-1)/G)*(exp((h*data1^2)/2)) group1<-sort(w) g<-0.15    ## proportion of trimming ## group 1 uw<-floor(0.2*n1) low1<-mean(group1[1:uw]) uppw1<-mean(group1[(n1-uw+1):n1]) UWx<-uppw1-low1 vw<-floor(0.5*n1) low2<-mean(group1[1:vw]) uppw2<-mean(group1[(n1-vw+1):n1]) LWx<-uppw2-low2 gam.low<-g*(UWx/(UWx+LWx)) gam.upp<-g-gam.low gw1<-floor(n1*gam.low) gw2<-floor(n1*gam.upp) hw<-n...

...e predict command, it displays an error due to the length of the data sets from the removal of the NA's. Here is the data, and the code that I am using so far, if you run it, you'll see the error pop up.... please help me to get around this problem. Thanks in advance. Location Dist. Size low1 .5 10.5 low2 .5 23 low3 .5 NA low4 .5 NA mid1 3 15 mid2 3 11.5 mid3 3 15 mid4 3 NA high1 6 12.5 high2 6 20 high3 6 21 high4 6 22 wall1 10 13 wall2 10 12.5 wall3 10 13 wall4 10 12 d<-read.table("dilomaaethiops.txt",header=T) d str(d) range(d$Dist.) s<-d$Size range(s) s[s<.1]<-...

...; 3 bytes vendor part of MAC + xchg ah,al ; Convert to host byte order + ror eax,16 + xchg ah,al +.hexify_loop1: rol eax,4 + push eax + and al,0Fh + cmp al,10 + jae .high1 +.low1: add al,'0' + jmp short .char1 +.high1: add al,'A'-10 +.char1: stosb + pop eax + loop .hexify_loop1 + + mov cx,6 ; 6 nibbles in netcard part of MAC + mo...

> Dear expeRts, > > Currently, my colors are as follows: > mycol <- > c("blue1","blue2","blue3","blue4","black","yellow4","yellow3","yellow2","y > ellow1") > heatmap(snp, Rowv=NA, Colv=NA, col=mycol) > > However, I would like to have the following colors: > bright blue -> dark blue: for intensity range from 0 to 2 in steps of 0.5 > (i.e. 4 grades of blue) > black: for intensity 2 > dark yellow -> bright yellow: for...