[R] replacing Na's with values on different records
arun
smartpink111 at yahoo.com
Tue Sep 10 16:53:01 CEST 2013
HI,
You should take out the as.integer()
res<- unsplit(lapply(split(u3s,u3s$ID),function(x) { x$AUC24<- if(all(is.na(x$AUC24))) NA else round(x$AUC24[!is.na(x$AUC24)]/2* (2^(0:floor(log(4,2)))),3);x$WT<- if(all(is.na(x$WT))) NA else x$WT[!is.na(x$WT)];x}),u3s$ID)
res$AUC24
#[1] NA NA NA 10.115 20.230 40.460 4.582 9.163 18.327
Regarding the other question about AUC24 with NA in the first entry, you should try this:
u3s1<- u3s
u3s1$AUC24[1]<- 2
u3sNew<- rbind(u3s1,u3s,u3s,u3s)
u3sNew$ID[10:36]<- rep(104:112,each=3)
u3sNew$AUC24[c(12,19:22,27,28,30)]<- c(20,2,4,8,10.115,18.3268,2,8)
#Modified added ?round()
res<- unsplit(lapply(split(u3sNew,u3sNew$ID),function(x) {
indx<-!is.na(x$AUC24)
x1<- x$AUC24[indx]
x2<- 2^(0:floor(log(4,2)))
x$AUC24<-round(if(sum(indx)==3) {
x$AUC24
}
else if( sum(indx)==2) {
if(which(!indx)==2|which(!indx)==3) {
x1[1]* x2
}
else (x1[1]/2)*x2
}
else if( sum(indx)==1) {
if(which(indx)==1) {
x1*x2
}
else if(which(indx)==2){
(x1/2)*x2
}
else (x1/4)*x2
}
else NA,3)
x$WT<- if(all(is.na(x$WT))){
NA
}
else x$WT[!is.na(x$WT)]
x}),u3sNew$ID)
res$AUC24
# [1] 2.000 4.000 8.000 10.115 20.230 40.460 4.582 9.163 18.327 5.000
#[11] 10.000 20.000 10.115 20.230 40.460 4.582 9.163 18.327 2.000 4.000
#[21] 8.000 10.115 20.230 40.460 4.582 9.163 18.327 2.000 4.000 8.000
#[31] 10.115 20.230 40.460 4.582 9.163 18.327
u3sNew$AUC24
#[1] 2.0000 NA NA NA 20.2300 NA NA 9.1634 NA
#[10] NA NA 20.0000 NA 20.2300 NA NA 9.1634 NA
#[19] 2.0000 4.0000 8.0000 10.1150 20.2300 NA NA 9.1634 18.3268
#[28] 2.0000 NA 8.0000 NA 20.2300 NA NA 9.1634 NA
A.K.
----- Original Message -----
From: "El-Tahtawy, Ahmed" <Ahmed.El-Tahtawy at pfizer.com>
To: arun <smartpink111 at yahoo.com>
Cc:
Sent: Tuesday, September 10, 2013 10:39 AM
Subject: RE: replacing Na's with values on different records
Hi Arun,
Thanks for the code. I just applied it and it ran like a charm!!
I ran the code with the first child (AUC24=NA) before seeking your help, but gave me the same error!!
One last question- I tried to use round(3), but AUC24 didn't change.
res<-unsplit(lapply(split(u3s,u3s$ID),function(x) {
x$AUC24<- if(all(is.na(x$AUC24))) NA else round(as.integer(x$AUC24[!is.na(x$AUC24)]/2)* (2^(0:floor(log(4,2)))),3);
x$WT<- if(all(is.na(x$WT))) NA else x$WT[!is.na(x$WT)];x}),u3s$ID)
Thanks again...
Ahmed
.
-----Original Message-----
From: arun [mailto:smartpink111 at yahoo.com]
Sent: Monday, September 09, 2013 6:24 PM
To: R help
Cc: El-Tahtawy, Ahmed
Subject: Re: replacing Na's with values on different records
HI Ahmed,
No problem.
You got the error because one of the IDs had all NAs for AUC24.
Also, In your dataset, there are NAs in BLADDERWALL, BLADDERWALLC, AUC12d, Cmaxd, in addition to WT, and AUC24. Do you want to follow any particular methodology for filling the NAs in these columns? or the filling of NAs are only applicable to AUC24.
res<-unsplit(lapply(split(u3s,u3s$ID),function(x) { x$AUC24<- if(all(is.na(x$AUC24))) NA else as.integer(x$AUC24[!is.na(x$AUC24)]/2)* (2^(0:floor(log(4,2))));x$WT<- if(all(is.na(x$WT))) NA else x$WT[!is.na(x$WT)];x}),u3s$ID) res # ID PERIOD DOSE VOL1stD MCC BLADDERWALL visit VOL1stDC MCCC BLADDERWALLC
#1 101 p1 0.03 22 72 2.9 3 -8 -21 1.2
#2 101 p2 0.06 24 80 1.0 4 -6 -13 -0.7
#3 101 p3 0.12 17 59 4.6 5 -13 -34 2.9
#4 102 p1 0.03 5 25 0.3 3 -10 -20 -1.3
#5 102 p2 0.06 67 125 NA 4 52 80 NA
#6 102 p3 0.12 10 24 0.2 5 -5 -21 -1.4
#7 103 p1 0.03 6 15 0.0 3 -23 -20 -0.1
#8 103 p2 0.06 58 72 0.8 4 29 37 0.7
#9 103 p3 0.12 15 35 0.5 5 -14 0 0.4
# AUC12d Cmaxd Cmind WT PHENO RACE SEX AGE_y AUC24
#1 NA NA NA 12.7 1 2 1.8152448 NA
#2 NA NA NA 12.7 1 2 1.8152448 NA
#3 NA NA NA 12.7 1 2 1.8152448 NA
#4 NA NA NA 13.4 Extensive Metabolizer 1 1 2.1465338 10
#5 10.1150 2.98 0 13.4 Extensive Metabolizer 1 1 2.1465338 20
#6 NA NA NA 13.4 Extensive Metabolizer 1 1 2.1465338 40
#7 NA NA NA 10.0 1 1 0.5010404 4
#8 4.5817 1.41 0 10.0 1 1 0.5010404 8
#9 NA NA NA 10.0 1 1 0.5010404 16
A.K.
----- Original Message -----
From: "El-Tahtawy, Ahmed" <Ahmed.El-Tahtawy at pfizer.com>
To: arun <smartpink111 at yahoo.com>
Cc:
Sent: Monday, September 9, 2013 6:06 PM
Subject: RE: replacing Na's with values on different records
Dear Arun,
Thanks a million for the sophisticated code- it is little above my skill level. I never saw brilliant use of function x like this before!!( I am a clinical Pharmacologist who loves to explore patient data!!). it seems impossible to use for loop or a simpler function I guess?
The code worked with the simple data, tried to use it with actual data and got an error!!
################################################################################
dput(head(u3s,9)) # only 3 patients
structure(list(ID = c(101L, 101L, 101L, 102L, 102L, 102L, 103L, 103L, 103L), PERIOD = c("p1", "p2", "p3", "p1", "p2", "p3", "p1", "p2", "p3"), DOSE = c("0.03", "0.06", "0.12", "0.03", "0.06", "0.12", "0.03", "0.06", "0.12"), VOL1stD = c(22L, 24L, 17L, 5L, 67L, 10L, 6L, 58L, 15L), MCC = c(72L, 80L, 59L, 25L, 125L, 24L, 15L, 72L, 35L), BLADDERWALL = c(2.9, 1, 4.6, 0.3, NA, 0.2, 0, 0.8, 0.5), visit = c(3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L), VOL1stDC = c(-8L, -6L, -13L, -10L, 52L, -5L, -23L, 29L, -14L), MCCC = c(-21L, -13L, -34L, -20L, 80L, -21L, -20L, 37L, 0L), BLADDERWALLC = c(1.2, -0.7, 2.9, -1.3, NA, -1.4, -0.1, 0.7, 0.4), AUC12d = c(NA, NA, NA, NA, 10.115, NA, NA, 4.5817, NA), Cmaxd = c(NA, NA, NA, NA, 2.98, NA, NA, 1.41, NA), Cmind = c(NA, NA, NA, NA, 0, NA, NA, 0, NA), WT = c(NA, 12.7, NA, NA, 13.4, NA, NA, 10, NA), PHENO = c("", "", "", "Extensive Metabolizer", "Extensive Metabolizer", "Extensive Metabolizer", "", "", ""), RACE = c(1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L), SEX = c(2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L), AGE_y = c(1.815244771, 1.815244771, 1.815244771, 2.146533786, 2.146533786, 2.146533786, 0.501040412, 0.501040412, 0.501040412), AUC24 = c(NA, NA, NA, NA, 20.23, NA, NA, 9.1634, NA)), .Names = c("ID", "PERIOD", "DOSE", "VOL1stD", "MCC", "BLADDERWALL", "visit", "VOL1stDC", "MCCC", "BLADDERWALLC", "AUC12d", "Cmaxd", "Cmind", "WT", "PHENO", "RACE", "SEX", "AGE_y", "AUC24"), row.names = c(NA, 9L), class = "data.frame") ######################################################################
Here is your code- changed current ID to ID & AUC to AUC24 to match actual data
u3s1<-unsplit(lapply(split(u3s,u3s$"ID"),function(x) {
(x$AUC24<-as.integer(x$AUC24[!is.na(x$AUC24)]/2)* (2^(0:floor(log(4,2)))));
x$WT<- x$WT[!is.na(x$WT)];
x }),u3s$"ID")
################################################################################
Error in `$<-.data.frame`(`*tmp*`, "AUC24", value = numeric(0)) :
replacement has 0 rows, data has 3
Thank you again for your time and help..
Ahmed
.
-----Original Message-----
From: arun [mailto:smartpink111 at yahoo.com]
Sent: Monday, September 09, 2013 5:00 PM
To: El-Tahtawy, Ahmed
Subject: Re: replacing Na's with values on different records
HI Ahmed,
No problem. Don't know if you didn't get the reply or not. This is what I sent..
u3s<- read.table(text="Current-ID visit AUC Wight ID1
101 3 . . 1
101 4 10 13 2
101 5 . . 3
102 3 . . 4
102 4 4 10 5
102 5 . . 6
103 3 . . 7
103 4 6 9 8
103 5 . . 9",sep="",header=TRUE,na.strings=".",check.names=FALSE)
u3d<- read.table(text="Desired-ID visit AUC Wight ID1
101 3 5 13 1
101 4 10 13 2
101 5 20 13 3
102 3 2 10 4
102 4 4 10 5
102 5 8 10 6
103 3 3 9 7
103 4 6 9 8
103 5 12 9 9",sep="",header=TRUE,check.names=FALSE)
u3s1<-unsplit(lapply(split(u3s,u3s$`Current-ID`),function(x) {(x$AUC<-as.integer(x$AUC[!is.na(x$AUC)]/2)* (2^(0:floor(log(4,2))))); x$Wight<- x$Wight[!is.na(x$Wight)];x }),u3s$`Current-ID`)
attr(u3s1,"row.names")<- attr(u3d,"row.names")
colnames(u3s1)<- colnames(u3d)
all.equal(u3s1,u3d)
----- Original Message -----
From: "El-Tahtawy, Ahmed" <Ahmed.El-Tahtawy at pfizer.com>
To: arun <smartpink111 at yahoo.com>
Cc:
Sent: Monday, September 9, 2013 4:48 PM
Subject: RE: replacing Na's with values on different records
Hi Arun,
Thanks a million...
I am looking forward to seeing your replay tomorrow.
Best Regards
Ahmed
.
-----Original Message-----
From: arun [mailto:smartpink111 at yahoo.com]
Sent: Monday, September 09, 2013 4:17 PM
To: El-Tahtawy, Ahmed
Subject: Re: replacing Na's with values on different records
HI Ahmed,
I already sent the reply. Let me know if that works.
A.K.
----- Original Message -----
From: "El-Tahtawy, Ahmed" <Ahmed.El-Tahtawy at pfizer.com>
To: "smartpink111 at yahoo.com" <smartpink111 at yahoo.com>
Cc:
Sent: Monday, September 9, 2013 2:50 PM
Subject: RE: replacing Na's with values on different records
Greeting,
Thank you for your quick response.
There are 5 columns and only 3 patients. the actual data has 50 variables and so many patients; but a simplified version is made to help focus on the main problem. I used dput as suggested and there an "L" added to all numbers!!
Please let me know if you have any more questions...
head(u3s,10)
ID visit AUC Wight ID1
1 101 3 NA NA 1
2 101 4 10 13 2
3 101 5 NA NA 3
4 102 3 NA NA 4
5 102 4 4 10 5
6 102 5 NA NA 6
7 103 3 NA NA 7
8 103 4 6 9 8
9 103 5 NA NA 9
> dput(u3s)
structure(list(ID = c(101L, 101L, 101L, 102L, 102L, 102L, 103L, 103L, 103L), visit = c(3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L), AUC = c(NA, 10L, NA, NA, 4L, NA, NA, 6L, NA), Wight = c(NA, 13L, NA, NA, 10L, NA, NA, 9L, NA), ID1 = 1:9), .Names = c("ID", "visit", "AUC", "Wight", "ID1"), class = "data.frame", row.names = c(NA, -9L))
Best Regards
Ahmed
.
-----Original Message-----
From: smartpink111 at yahoo.com [mailto:smartpink111 at yahoo.com]
Sent: Monday, September 09, 2013 12:15 PM
To: El-Tahtawy, Ahmed
Subject: replacing Na's with values on different records
HI,
The example dataset "Current" and "Desired" are mangled by HTML. It is not clear how many columns you have. I tried it like this, but still it is still not clear..
ID visit AUC Wight ID1
101 3 1 101 4
10 13 2 101 5
3 102 3 4 102
4 4 10 5 102
5 6 103 3 7
103 4 6 9 8
103 5 9 ####two elements are missing.
Please use ?dput()
For e.g.
dput(head(dataset,20))
<quote author='El-Tahtawy, Ahmed'>
I'm sure I'm missing something really obvious in the "for loop"...
Here is simplified data for 3 patients, we need filling in Na's with same WT for each patient, AUC halved for visit 3, doubled for visit 5 for the same patient, based on visit 4
for(i in unique(u3s$ID)){ #fill in same Wt for each patient
u3s$WT <- ifelse(is.na(u3s$WT),u3s$WT[u3s$visit == "4"],u3s$WT)
for(j in length(u3s$ID1)){ #fill in .5 AUC for visit 3, 2*AUC for visit 5
u3s$AUC24 <- ifelse(is.na(u3s$AUC24),u3s$AUC24[u3s$visit ==
"4"]*0.5,u3s$AUC24)
u3s$AUC24 <- ifelse(!is.na(u3s$AUC24),u3s$AUC24[u3s$visit ==
"4"]*1.0,u3s$AUC24)
u3s$AUC24 <- ifelse(is.na(u3s$AUC24),u3s$AUC24[u3s$visit ==
"4"]*2.0,u3s$AUC24)
}
}
Current-
ID
visit
AUC
Wight
ID1
101
3
1
101
4
10
13
2
101
5
3
102
3
4
102
4
4
10
5
102
5
6
103
3
7
103
4
6
9
8
103
5
9
Desired-
ID
visit
AUC
Wight
ID1
101
3
5
13
1
101
4
10
13
2
101
5
20
13
3
102
3
2
10
4
102
4
4
10
5
102
5
8
10
6
103
3
3
9
7
103
4
6
9
8
103
5
12
9
9
Your help is greatly appreciated...
Best Regards
[[alternative HTML version deleted]]
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