similar to: about interpretation of anova results...

i know this is not about R. After applying quantile regression with t=0.5,0.6 on the data set WBC( Wisconsin Breast Cancer)with 678 observations and 9 independent variables(inp1,inp2,...inp9) and 1 dependent variable(op) i have got the following results for beta values. when t=0.5(median regression) beta values b1=0.002641,b2=0.045746,b3=0.

fit1<-rq(formula=op~inp1+inp2+inp3+inp4+inp5+inp6+inp7+inp8+inp9,tau=0.15,data=wbc) fit2<-rq(formula=op~inp1+inp2+inp3+inp4+inp5+inp6+inp7+inp8+inp9,tau=0.5,data=wbc) fit3<-rq(formula=op~inp1+inp2+inp3+inp4+inp5+inp6+inp7+inp8+inp9,tau=0.15,data=wbc) fit4<-rq(formula=op~inp1+inp2+inp3+inp4+inp5+inp6+inp7+inp8+inp9,tau=0.15,data=wbc)

Dear list, I try to set a secondary y-axis in a lattice xyplot. This works. However, I am unable to set a proper legend/key together with the 2nd y-axis under general xyplot procedures. See example below. The combination of the par.settings with simpleTheme and other settings seems to go wrong. I couldn't find a solution from previous topics. Any suggestions? thanks in advance! Robbert

Hi all, I am trying to merge 2 big data.frame. The problem is merge is memory intensive so R is going out of memory error: cannot allocate vector of size 360.1 Mb. To overcome this, I am exploring option of using data.table package. But its not helping in term of memory as merge in data.table is fast but not memory efficient. Similar error is coming. My inputs are inp1 V1 V2 1 a i1 2 a i2 3 a

Hi, I need some help improving this ugly code I wrote. I would like to shift forward a zoo object, matrix, ts, or list by "shift" items (default 1) and fill the holes with 0's. The code below works, but it looks ugly. I could write a function lag.zerofill() which calls the two functions below depending on the class() of the item passed in, but that feels very unlike R. What is

Good morning, I wrote a little code in R which has to show two graphs but I can get only one. How can I adress the graphs in two files? Second, I'd like, always in the same code, to add a legend to a graph. Better, I'd like to put in such a legend a new item whose color could remind the colour ol the columns it refers to in the plot. I wrote: leg.txt<-c("control