search for: p1982

I have a data set like this I want to assign "outward" to Y if sc <90 and assign "inward" to Y if sc>=90. then cbind(p1982,Y) to get like these p aa as ms cur sc Y 1 154l_aa ARG 152.04 108.83 -0.1020140 92.10410 inward 2 154l_aa THR 15.86 28.32 0.2563560 103.67100 inward 3 154l_aa ASP 65.13 59.16 0.0312137 7.27311 outward 4 154l_aa CYS 57.20 49.85 -0.0549589 72.97930 outward 5 154l_aa TYR 28.8...

...set like this. I want to do glm, but I get this error: Error in model.matrix.default(mt, mf, contrasts) : cannot allocate vector of length 932889958 I am wondering if my data set is too large or I did something wrong. Is there some limitation for data size for R? thanks, Aimin > p1982<- read.csv("p_1982_aa.csv") > names(p1982) [1] "p" "aa" "as" "ms" "cur" "sc" > str(p1982) 'data.frame': 465979 obs. of 6 variables: $ p : Factor w/ 1982 levels "154l_aa","1A0P_aa"...

I have a data set like this: if I want to less than 200000 obs from this data set. How can I do these? > str(p1982) 'data.frame': 465979 obs. of 6 variables: $ p : Factor w/ 1982 levels "154l_aa","1A0P_aa",..: 1 1 1 1 1 1 1 1 1 1 ... $ aa : Factor w/ 19 levels "ALA","ARG","ASN",..: 2 16 4 5 18 3 19 3 2 9 ... $ as : num 152.0 15.9 65.1 57.2...

I have a data set p1982, its structure is the following Then I take 20 observations from this dataset, and assign to pr. in p1982, p has 1982 levels, in dataset pr, p should have 1 levels. But I do str(pr), it shows that p still has 1982 levels. also for these > pr$aa [1] ARG THR ASP CYS TYR ASN VAL ASN ARG IL...