search for: inp1

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...

quantreg package is used. *fit1 results are* Call: rq(formula = op ~ inp1 + inp2 + inp3 + inp4 + inp5 + inp6 + inp7 + inp8 + inp9, tau = 0.15, data = wbc) Coefficients: (Intercept) inp1 inp2 inp3 inp4 inp5 -0.191528450 0.005276347 0.021414032 0.016034803 0.007510343 0.005276347 inp6 inp7 inp8...

...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 i3 4 a i4 5 b i5 6 c i6 inp2 V1 V2 1 a x 2 b x 3 a y 4 c z I want merge(x=inp1, y=inp2, by.x="V1", by.y="V1") so the output V1 V2.x V2.y 1 a i1 x 2 a i1 y 3 a i2 x 4 a i2 y 5 a i3 x 6 a i3 y...

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. 005282,b4=0.004397,b5=0.002641,b6=0.065807,b7=0.005282 ,b8=0.031394,b9=0.004993 and intercept is -0.181388 and when t=0.6 beta v...

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