[R] replacing Na's with values on different records
arun
smartpink111 at yahoo.com
Tue Sep 10 00:58:41 CEST 2013
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. How do you want to fill those NAs?
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 `$<-.data.frame`(`*tmp*`, "AUC24", value = numeric(0)) :
replacement has 0 rows, data has 3
Thank you again for your time and help..
Ahmed
.
-----Origi
ay, September 09, 2013 5:00 PM
To: El-Tahtawy, Ahmed
Subject: Re: replacing Na's with values on different records
HI Ahmed,
No problem. Don't know if you didn't get the reply or not. This is what I sent..
u3s<- read.table(text="Current-ID visit AUC Wight ID1
101 3 . . 1
101 4 10 13 2
101 5 . . 3
102 3 . . 4
102 4 4 10 5
102 5 . . 6
103 3 . . 7
103 4 6 9 8
103 5 . . 9",sep="",header=TRUE,na.strings=".",check.names=FALSE)
u3d<- read.table(text="Desired-ID visit AUC Wight ID1
101 3 5 13 1
101 4 10 13 2
101 5 20 13 3
102 3 2 10 4
102 4 4 10 5
102 5 8 10 6
103 3 3 9 7
103 4 6 9 8
103 5 12 9 9",sep="",header=TRUE,check.names=FALSE)
u3s1<-unsplit(lapply(split(u3s,u3s$`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
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
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>
day, 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
M
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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