arun
2013-Sep-07 20:12 UTC
[R] Subsetting isolating a group of values in a group of variables
Hi, The expected output is not clear. dat1<- read.table(text="ID diag1 diag2 diag3 proc1 proc2 proc3 1 k23 i269 j123?? u123? u456? u123 2 k69 i80 u456?? z456? z123? z456 3 l91 i801 g678?? u456? u123? u123 4 i80 i90 h983?? z123? z456?? z456",sep="",header=TRUE,stringsAsFactors=FALSE) vec1<- c("i80","i90","l91") subset(dat1,diag1%in%vec1|diag2%in%vec1|diag3%in% vec1) #? ID diag1 diag2 diag3 proc1 proc2 proc3 #2? 2?? k69?? i80? u456? z456? z123? z456 #3? 3?? l91? i801? g678? u456? u123? u123 #4? 4?? i80?? i90? h983? z123? z456? z456 ##Creating another data frame with codes and diagnosis dat2<-data.frame(code=unique(unlist(dat1[,2:4])),diag=c(rep("Broken finger",2),rep("Broken toe",2),rep("Broken legs",2),"Broken toe",rep("Broken foot",2),rep("Broken rib",2)),stringsAsFactors=FALSE) ?lst1<- lapply(split(dat2,dat2$diag), function(x) {x1<- x$code;x2<- subset(dat1,diag1%in%x1|diag2%in%x1|diag3%in%x1);cbind(x2,Diag=x$diag)}) ?lst1 #$`Broken finger` ?# ID diag1 diag2 diag3 proc1 proc2 proc3????????? Diag #1? 1?? k23? i269? j123? u123? u456? u123 Broken finger #2? 2?? k69?? i80? u456? z456? z123? z456 Broken finger # #$`Broken foot` ?# ID diag1 diag2 diag3 proc1 proc2 proc3??????? Diag #1? 1?? k23? i269? j123? u123? u456? u123 Broken foot #2? 2?? k69?? i80? u456? z456? z123? z456 Broken foot # #$`Broken legs` ?# ID diag1 diag2 diag3 proc1 proc2 proc3??????? Diag #1? 1?? k23? i269? j123? u123? u456? u123 Broken legs #3? 3?? l91? i801? g678? u456? u123? u123 Broken legs #$`Broken rib` ?# ID diag1 diag2 diag3 proc1 proc2 proc3?????? Diag #3? 3?? l91? i801? g678? u456? u123? u123 Broken rib #4? 4?? i80?? i90? h983? z123? z456? z456 Broken rib #$`Broken toe` #? ID diag1 diag2 diag3 proc1 proc2 proc3?????? Diag #2? 2?? k69?? i80? u456? z456? z123? z456 Broken toe #3? 3?? l91? i801? g678? u456? u123? u123 Broken toe #4? 4?? i80?? i90? h983? z123? z456? z456 Broken toe A.K. Hello. I have date frame structured like this: ID diag1 diag2 diag3 proc1 proc2 proc3 1 k23 i269 j123 ? u123 ?u456 ?u123 2 k69 i80 u456 ? z456 ?z123 ?z456 3 l91 i801 g678 ? u456 ?u123 ?u123 4 i80 i90 h983 ? z123 ?z456 ? z456 Each observation has a group of diagnostics codes(diag) and procedure codes(proc). A single diagnosis maybe be described by more than one code eg broken toe maybe coded for by i80,i90,l91 or more. My aim to subset all rows with any of the codes representing a single diagnosis. So i would like to use multiple values (i80,i90,l91= broken toe) applied to specific columns, ie diag1,2 and 3 to isolate those rows which contain any of the specified codes. Your help would be greatly appreciated.
arun
2013-Sep-08 02:25 UTC
[R] Subsetting isolating a group of values in a group of variables
Hi, Using the same example: str1<-paste(colnames(dat1)[grepl("diag",colnames(dat1))],"%in%","vec1",collapse="|") ?subset(dat1,eval(parse(text=str1))) #? ID diag1 diag2 diag3 proc1 proc2 proc3 #2? 2?? k69?? i80? u456? z456? z123? z456 #3? 3?? l91? i801? g678? u456? u123? u123 #4? 4?? i80?? i90? h983? z123? z456? z456 lapply(split(dat2,dat2$diag),function(x) {x1<- x$code; str1<- paste(colnames(dat1)[grepl("diag",colnames(dat1))],"%in%","x1",collapse="|"); x2<- subset(dat1,eval(parse(text=str1))); cbind(x2,Diag=x$diag)}) #$`Broken finger` #? ID diag1 diag2 diag3 proc1 proc2 proc3????????? Diag #1? 1?? k23? i269? j123? u123? u456? u123 Broken finger #2? 2?? k69?? i80? u456? z456? z123? z456 Broken finger # #$`Broken foot` #? ID diag1 diag2 diag3 proc1 proc2 proc3??????? Diag #1? 1?? k23? i269? j123? u123? u456? u123 Broken foot #2? 2?? k69?? i80? u456? z456? z123? z456 Broken foot # #$`Broken legs` #? ID diag1 diag2 diag3 proc1 proc2 proc3??????? Diag #1? 1?? k23? i269? j123? u123? u456? u123 Broken legs #3? 3?? l91? i801? g678? u456? u123? u123 Broken legs # #$`Broken rib` #? ID diag1 diag2 diag3 proc1 proc2 proc3?????? Diag #3? 3?? l91? i801? g678? u456? u123? u123 Broken rib #4? 4?? i80?? i90? h983? z123? z456? z456 Broken rib # #$`Broken toe` #? ID diag1 diag2 diag3 proc1 proc2 proc3?????? Diag #2? 2?? k69?? i80? u456? z456? z123? z456 Broken toe #3? 3?? l91? i801? g678? u456? u123? u123 Broken toe #4? 4?? i80?? i90? h983? z123? z456? z456 Broken toe ##############You can also use a larger dataset: set.seed(48) dat1New<- as.data.frame(matrix(sample(paste0(letters,sample(1:800,700,replace=TRUE)),90*1e5,replace=TRUE),ncol=90),stringsAsFactors=FALSE) set.seed(185) ?dat2New<- as.data.frame(matrix(sample(paste0(letters,sample(400:1200,700,replace=TRUE)),90*1e5,replace=TRUE),ncol=90),stringsAsFactors=FALSE) ?dat3<- cbind(ID=1:1e5,dat1New,dat2New) colnames(dat3)[-1]<-c(paste0("diag",1:90),paste0("proc",1:90)) set.seed(1459) Refdat<- data.frame(code=unique(unlist(dat1New)), diag=sample(c("Broken finger","Broken toe", "Broken legs", "Broken foot", "Broken rib", "Broken nose", "Broken elbow", "Broken hip"),length(unique(unlist(dat1New))),replace=TRUE),stringsAsFactors=FALSE) res<- lapply(split(Refdat,Refdat$diag),function(x) {x1<- x$code; str1<- paste(colnames(dat3)[grepl("diag",colnames(dat3))],"%in%","x1",collapse="|"); x2<- subset(dat3,eval(parse(text=str1))) }) sapply(split(Refdat,Refdat$diag),function(x) {x1<- x$code; str1<- paste(colnames(dat3)[grepl("diag",colnames(dat3))],"%in%","x1",collapse="|"); x2<- subset(dat3,eval(parse(text=str1)));nrow(x2) }) # Broken elbow Broken finger?? Broken foot??? Broken hip?? Broken legs ?# ????? 99997??????? 100000???????? 99994??????? 100000???????? 99997 ?# Broken nose??? Broken rib??? Broken toe ? # ???? 99996???????? 99999??????? 100000 A.K. Thanks for the prompt reply arun, this really has helped. My actual data frame has diagnostic codes diag1, diag2 etc which are range from 1 to 93. Is there any way to apply "subset(dat1,diag1%in%vec1|diag2%in%vec1|diag3%in% vec1)"??such that i can search many multiple columns in dat1 without specifying each column separately? ----- Original Message ----- From: arun <smartpink111 at yahoo.com> To: R help <r-help at r-project.org> Cc: Sent: Saturday, September 7, 2013 4:12 PM Subject: Re: Subsetting isolating a group of values in a group of variables Hi, The expected output is not clear. dat1<- read.table(text="ID diag1 diag2 diag3 proc1 proc2 proc3 1 k23 i269 j123?? u123? u456? u123 2 k69 i80 u456?? z456? z123? z456 3 l91 i801 g678?? u456? u123? u123 4 i80 i90 h983?? z123? z456?? z456",sep="",header=TRUE,stringsAsFactors=FALSE) vec1<- c("i80","i90","l91") subset(dat1,diag1%in%vec1|diag2%in%vec1|diag3%in% vec1) #? ID diag1 diag2 diag3 proc1 proc2 proc3 #2? 2?? k69?? i80? u456? z456? z123? z456 #3? 3?? l91? i801? g678? u456? u123? u123 #4? 4?? i80?? i90? h983? z123? z456? z456 ##Creating another data frame with codes and diagnosis dat2<-data.frame(code=unique(unlist(dat1[,2:4])),diag=c(rep("Broken finger",2),rep("Broken toe",2),rep("Broken legs",2),"Broken toe",rep("Broken foot",2),rep("Broken rib",2)),stringsAsFactors=FALSE) ?lst1<- lapply(split(dat2,dat2$diag), function(x) {x1<- x$code;x2<- subset(dat1,diag1%in%x1|diag2%in%x1|diag3%in%x1);cbind(x2,Diag=x$diag)}) ?lst1 #$`Broken finger` ?# ID diag1 diag2 diag3 proc1 proc2 proc3????????? Diag #1? 1?? k23? i269? j123? u123? u456? u123 Broken finger #2? 2?? k69?? i80? u456? z456? z123? z456 Broken finger # #$`Broken foot` ?# ID diag1 diag2 diag3 proc1 proc2 proc3??????? Diag #1? 1?? k23? i269? j123? u123? u456? u123 Broken foot #2? 2?? k69?? i80? u456? z456? z123? z456 Broken foot # #$`Broken legs` ?# ID diag1 diag2 diag3 proc1 proc2 proc3??????? Diag #1? 1?? k23? i269? j123? u123? u456? u123 Broken legs #3? 3?? l91? i801? g678? u456? u123? u123 Broken legs #$`Broken rib` ?# ID diag1 diag2 diag3 proc1 proc2 proc3?????? Diag #3? 3?? l91? i801? g678? u456? u123? u123 Broken rib #4? 4?? i80?? i90? h983? z123? z456? z456 Broken rib #$`Broken toe` #? ID diag1 diag2 diag3 proc1 proc2 proc3?????? Diag #2? 2?? k69?? i80? u456? z456? z123? z456 Broken toe #3? 3?? l91? i801? g678? u456? u123? u123 Broken toe #4? 4?? i80?? i90? h983? z123? z456? z456 Broken toe A.K. Hello. I have date frame structured like this: ID??? diag1 diag2 diag3 proc1 proc2 proc3 1??? k23??? i269??? j123??? ? u123 ?u456 ?u123 2??? k69??? i80??? u456 ? z456 ?z123 ?z456 3??? l91??? i801??? g678 ? u456 ?u123 ?u123 4??? i80??? i90??? h983 ? z123 ?z456 ? z456 Each observation has a group of diagnostics codes(diag) and procedure codes(proc). A single diagnosis maybe be described by more than one code eg broken toe maybe coded for by i80,i90,l91 or more. My aim to subset all rows with any of the codes representing a single diagnosis. So i would like to use multiple values (i80,i90,l91= broken toe) applied to specific columns, ie diag1,2 and 3 to isolate those rows which contain any of the specified codes. Your help would be greatly appreciated.