Re: [R] HELP ME: Fill NA Values from the previous Non-NA Values
Amazing! Thanks for your kindness.
On Thursday, 16 March 2017, 20:38, PIKAL Petr
wrote:
Hi
You can achieve exactly what you want by using ave/na.locf twice
dat<-data.frame(ie=rep(letters[1:3], each=3), iw=rnorm(9))
dat[c(3, 4),2]<-NA
> dat
ie iw
1 a 1.07254438
2 a 0.53067188
3 a NA
4 b NA
5 b -0.09767088
6 b -1.02719060
7 c 2.35787246
8 c -0.07513048
9 c -0.17164728
dat$iw <- ave(dat$iw, dat$ie, FUN=function(x) na.locf(x, na.rm=FALSE))
dat$iw <- ave(dat$iw, dat$ie, FUN=function(x) na.locf(x, na.rm=FALSE,
fromLast=TRUE))
> dat
ie iw
1 a 1.07254438
2 a 0.53067188
3 a 0.53067188
4 b -0.09767088
5 b -0.09767088
6 b -1.02719060
7 c 2.35787246
8 c -0.07513048
9 c -0.17164728
>
Cheers
Petr
> -Original Message-
> From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Allan
> Tanaka
> Sent: Thursday, March 16, 2017 3:16 AM
> To: William Dunlap
> Cc: r-help@r-project.org
> Subject: Re: [R] HELP ME: Fill NA Values from the previous Non-NA Values
>
> Hi. Thanks for the function. My bad, after looking at the csv file, it seems
>that
> NA values come not only from previous Non-NA values but also from the
> next Non-NA values. Example:
> | NCQ05 | 11.395 |
> | NCQ05 | 11.395 |
> | NCQ05 | |
> | NCQ06 | |
> | NCQ06 | 13 |
> | NCQ06 | 13 |
>
>
> If i use the function, then the blank row would be filled with 11.395, instead
> of filling with 11.395 and 13.
> Does it mean that the function can be modified like this?
> locf2 <- function(x, initial=NA, IS_BAD = is.na) {
> # Replace 'bad' values in 'x' with last previous non-bad value.
> # If no previous non-bad value, replace with 'initial'.
> stopifnot(is.function(IS_BAD))
> good <- !IS_BAD(x)
> stopifnot(is.logical(good), length(good) == length(x), !anyNA(good))
> i <- cumsum(good)
> x <- x[c(1,which(good))][i+1]
> x <- x[c(1,which(good))][i+2]
> x[i==0] <- initial
> x
> } On Thursday, 16 March 2017, 1:17, William Dunlap
> wrote:
>
>
> You could use the following function
>
> locf2 <- function(x, initial=NA, IS_BAD = is.na) {
> # Replace 'bad' values in 'x' with last previous non-bad value.
> # If no previous non-bad value, replace with 'initial'.
> stopifnot(is.function(IS_BAD))
> good <- !IS_BAD(x)
> stopifnot(is.logical(good), length(good) == length(x), !anyNA(good))
> i <- cumsum(good)
> x <- x[c(1,which(good))][i+1]
> x[i==0] <- initial
> x
> }
>
> as in
>
> > locf2(c("", "A", "B", "", "", "C", ""), IS_BAD=function(x)x=="",
> > initial="---")
> [1] "---" "A" "B" "B" "B" "C" "C"
> > locf2(factor(c(NA,"Small","Medium",NA,"Large",NA,NA,NA,"Small")))
> [1] Small Medium Medium Large Large Large Large Small
> Levels: Large Medium Small
> > locf2(c(12, NA, 10, 11, NA, NA))
> [1] 12 12 10 11 11 11
>
> Bill Dunlap
> TIBCO Software
> wdunlap tibco.com
>
>
> On Wed, Mar 15, 2017 at 4:08 AM, Allan Tanaka
> wrote:
> > The following is an example:
> >
> > | Item_Identifier | Item_Weight |
> > | FDP10 | 19 |
> > | FDP10 | |
> > | DRI11 | 8.26 |
> > | DRI11 | |
> > | FDW12 | 8.315 |
> > | FDW12 | |
> >
> >
> > The following is the one that i want to be. That is, filling NA values from
> > the
> previous Non-NA values.
> > | Item_Identifier | Item_Weight |
> > | FDP10 | 19 |
> > | FDP10 | 19 |
> > | DRI11 | 8.26 |
> > | DRI11 | 8.26 |
> > | FDW12 | 8.315 |
> > | FDW12 | 8.315 |
> >
> >
> > My current code data frame: train <- read.csv("Train.csv",
> > header=T,sep = ",",na.strings = c(""," ",NA))
> >
> >
> > Some people suggest to use na.locf function but in my case, i don't have
> numeric unique values in my Item_Identifier coloumn but rather it's
> characters. Not sure what to solve this problem.
> >
> >
> > [[alternative HTML version deleted]]
> >
> > __
> > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
> > https://stat.ethz.ch/mailman/listinfo/r-help
> > PLEASE do read the posting guide
> > http://www.R-project.org/posting-guide.html
> > and provide commented, minimal, self-contained, reproducible code.
>
>
>
Re: [R] HELP ME: Fill NA Values from the previous Non-NA Values
Hi
You can achieve exactly what you want by using ave/na.locf twice
dat<-data.frame(ie=rep(letters[1:3], each=3), iw=rnorm(9))
dat[c(3, 4),2]<-NA
> dat
ie iw
1 a 1.07254438
2 a 0.53067188
3 a NA
4 b NA
5 b -0.09767088
6 b -1.02719060
7 c 2.35787246
8 c -0.07513048
9 c -0.17164728
dat$iw <- ave(dat$iw, dat$ie, FUN=function(x) na.locf(x, na.rm=FALSE))
dat$iw <- ave(dat$iw, dat$ie, FUN=function(x) na.locf(x, na.rm=FALSE,
fromLast=TRUE))
> dat
ie iw
1 a 1.07254438
2 a 0.53067188
3 a 0.53067188
4 b -0.09767088
5 b -0.09767088
6 b -1.02719060
7 c 2.35787246
8 c -0.07513048
9 c -0.17164728
>
Cheers
Petr
> -Original Message-
> From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Allan
> Tanaka
> Sent: Thursday, March 16, 2017 3:16 AM
> To: William Dunlap
> Cc: r-help@r-project.org
> Subject: Re: [R] HELP ME: Fill NA Values from the previous Non-NA Values
>
> Hi. Thanks for the function. My bad, after looking at the csv file, it seems
> that
> NA values come not only from previous Non-NA values but also from the
> next Non-NA values. Example:
> | NCQ05 | 11.395 |
> | NCQ05 | 11.395 |
> | NCQ05 | |
> | NCQ06 | |
> | NCQ06 | 13 |
> | NCQ06 | 13 |
>
>
> If i use the function, then the blank row would be filled with 11.395, instead
> of filling with 11.395 and 13.
> Does it mean that the function can be modified like this?
> locf2 <- function(x, initial=NA, IS_BAD = is.na) {
> # Replace 'bad' values in 'x' with last previous non-bad value.
> # If no previous non-bad value, replace with 'initial'.
> stopifnot(is.function(IS_BAD))
> good <- !IS_BAD(x)
> stopifnot(is.logical(good), length(good) == length(x), !anyNA(good))
> i <- cumsum(good)
> x <- x[c(1,which(good))][i+1]
> x <- x[c(1,which(good))][i+2]
> x[i==0] <- initial
> x
> }On Thursday, 16 March 2017, 1:17, William Dunlap
> wrote:
>
>
> You could use the following function
>
> locf2 <- function(x, initial=NA, IS_BAD = is.na) {
> # Replace 'bad' values in 'x' with last previous non-bad value.
> # If no previous non-bad value, replace with 'initial'.
> stopifnot(is.function(IS_BAD))
> good <- !IS_BAD(x)
> stopifnot(is.logical(good), length(good) == length(x), !anyNA(good))
> i <- cumsum(good)
> x <- x[c(1,which(good))][i+1]
> x[i==0] <- initial
> x
> }
>
> as in
>
> > locf2(c("", "A", "B", "", "", "C", ""), IS_BAD=function(x)x=="",
> > initial="---")
> [1] "---" "A" "B" "B" "B" "C" "C"
> > locf2(factor(c(NA,"Small","Medium",NA,"Large",NA,NA,NA,"Small")))
> [1] Small Medium Medium Large Large Large Large Small
> Levels: Large Medium Small
> > locf2(c(12, NA, 10, 11, NA, NA))
> [1] 12 12 10 11 11 11
>
> Bill Dunlap
> TIBCO Software
> wdunlap tibco.com
>
>
> On Wed, Mar 15, 2017 at 4:08 AM, Allan Tanaka
> wrote:
> > The following is an example:
> >
> > | Item_Identifier | Item_Weight |
> > | FDP10 | 19 |
> > | FDP10 | |
> > | DRI11 | 8.26 |
> > | DRI11 | |
> > | FDW12 | 8.315 |
> > | FDW12 | |
> >
> >
> > The following is the one that i want to be. That is, filling NA values from
> > the
> previous Non-NA values.
> > | Item_Identifier | Item_Weight |
> > | FDP10 | 19 |
> > | FDP10 | 19 |
> > | DRI11 | 8.26 |
> > | DRI11 | 8.26 |
> > | FDW12 | 8.315 |
> > | FDW12 | 8.315 |
> >
> >
> > My current code data frame: train <- read.csv("Train.csv",
> > header=T,sep = ",",na.strings = c(""," ",NA))
> >
> >
> > Some people suggest to use na.locf function but in my case, i don't have
> numeric unique values in my Item_Identifier coloumn but rather it's
> characters. Not sure what to solve this problem.
> >
> >
> >[[alternative HTML version deleted]]
> >
> > __
> > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
> > https://stat.ethz.ch/mailman/listinfo/r-help
> > PLEASE do read the posting guide
> > http://www.R-project.org/posting-guide.html
> > and provide commented, minimal, self-contained, reproducible code.
>
>
>
> [[alternative HTML version deleted]]
>
> __
Re: [R] HELP ME: Fill NA Values from the previous Non-NA Values
Hi. Thanks for the function. My bad, after looking at the csv file, it seems
that NA values come not only from previous Non-NA values but also from the next
Non-NA values. Example:
| NCQ05 | 11.395 |
| NCQ05 | 11.395 |
| NCQ05 | |
| NCQ06 | |
| NCQ06 | 13 |
| NCQ06 | 13 |
If i use the function, then the blank row would be filled with 11.395, instead
of filling with 11.395 and 13.
Does it mean that the function can be modified like this?
locf2 <- function(x, initial=NA, IS_BAD = is.na) {
# Replace 'bad' values in 'x' with last previous non-bad value.
# If no previous non-bad value, replace with 'initial'.
stopifnot(is.function(IS_BAD))
good <- !IS_BAD(x)
stopifnot(is.logical(good), length(good) == length(x), !anyNA(good))
i <- cumsum(good)
x <- x[c(1,which(good))][i+1]
x <- x[c(1,which(good))][i+2]
x[i==0] <- initial
x
}On Thursday, 16 March 2017, 1:17, William Dunlap wrote:
You could use the following function
locf2 <- function(x, initial=NA, IS_BAD = is.na) {
# Replace 'bad' values in 'x' with last previous non-bad value.
# If no previous non-bad value, replace with 'initial'.
stopifnot(is.function(IS_BAD))
good <- !IS_BAD(x)
stopifnot(is.logical(good), length(good) == length(x), !anyNA(good))
i <- cumsum(good)
x <- x[c(1,which(good))][i+1]
x[i==0] <- initial
x
}
as in
> locf2(c("", "A", "B", "", "", "C", ""), IS_BAD=function(x)x=="",
> initial="---")
[1] "---" "A" "B" "B" "B" "C" "C"
> locf2(factor(c(NA,"Small","Medium",NA,"Large",NA,NA,NA,"Small")))
[1] Small Medium Medium Large Large Large Large Small
Levels: Large Medium Small
> locf2(c(12, NA, 10, 11, NA, NA))
[1] 12 12 10 11 11 11
Bill Dunlap
TIBCO Software
wdunlap tibco.com
On Wed, Mar 15, 2017 at 4:08 AM, Allan Tanaka wrote:
> The following is an example:
>
> | Item_Identifier | Item_Weight |
> | FDP10 | 19 |
> | FDP10 | |
> | DRI11 | 8.26 |
> | DRI11 | |
> | FDW12 | 8.315 |
> | FDW12 | |
>
>
> The following is the one that i want to be. That is, filling NA values from
> the previous Non-NA values.
> | Item_Identifier | Item_Weight |
> | FDP10 | 19 |
> | FDP10 | 19 |
> | DRI11 | 8.26 |
> | DRI11 | 8.26 |
> | FDW12 | 8.315 |
> | FDW12 | 8.315 |
>
>
> My current code data frame: train <- read.csv("Train.csv", header=T,sep =
> ",",na.strings = c(""," ",NA))
>
>
> Some people suggest to use na.locf function but in my case, i don't have
> numeric unique values in my Item_Identifier coloumn but rather it's
> characters. Not sure what to solve this problem.
>
>
> [[alternative HTML version deleted]]
>
> __
> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
[[alternative HTML version deleted]]
__
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
Re: [R] HELP ME: Fill NA Values from the previous Non-NA Values
Hi
why nonumeric values in data identifier matters?
Some toy data
dat<-data.frame(ie=rep(letters[1:3], each=3), iw=rnorm(9))
dat[c(2, 4,6, 9),2]<-NA
library(zoo)
ave(dat$iw, dat$ie, FUN=function(x) na.locf(x, na.rm=FALSE))
You can use ave together with na.locf to propagate nonumeric values only within
identifiers
Cheers
Petr
> -Original Message-
> From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Allan
> Tanaka
> Sent: Wednesday, March 15, 2017 12:09 PM
> To: r-help@r-project.org
> Subject: [R] HELP ME: Fill NA Values from the previous Non-NA Values
>
> The following is an example:
>
> | Item_Identifier | Item_Weight |
> | FDP10 | 19 |
> | FDP10 | |
> | DRI11 | 8.26 |
> | DRI11 | |
> | FDW12 | 8.315 |
> | FDW12 | |
>
>
> The following is the one that i want to be. That is, filling NA values from
> the
> previous Non-NA values.
> | Item_Identifier | Item_Weight |
> | FDP10 | 19 |
> | FDP10 | 19 |
> | DRI11 | 8.26 |
> | DRI11 | 8.26 |
> | FDW12 | 8.315 |
> | FDW12 | 8.315 |
>
>
> My current code data frame: train <- read.csv("Train.csv", header=T,sep =
> ",",na.strings = c(""," ",NA))
>
>
> Some people suggest to use na.locf function but in my case, i don't have
> numeric unique values in my Item_Identifier coloumn but rather it's
> characters. Not sure what to solve this problem.
>
>
> [[alternative HTML version deleted]]
>
> __
> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-
> guide.html
> and provide commented, minimal, self-contained, reproducible code.
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__
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
Re: [R] HELP ME: Fill NA Values from the previous Non-NA Values
You could use the following function
locf2 <- function(x, initial=NA, IS_BAD = is.na) {
# Replace 'bad' values in 'x' with last previous non-bad value.
# If no previous non-bad value, replace with 'initial'.
stopifnot(is.function(IS_BAD))
good <- !IS_BAD(x)
stopifnot(is.logical(good), length(good) == length(x), !anyNA(good))
i <- cumsum(good)
x <- x[c(1,which(good))][i+1]
x[i==0] <- initial
x
}
as in
> locf2(c("", "A", "B", "", "", "C", ""), IS_BAD=function(x)x=="",
> initial="---")
[1] "---" "A" "B" "B" "B" "C" "C"
> locf2(factor(c(NA,"Small","Medium",NA,"Large",NA,NA,NA,"Small")))
[1]Small Medium Medium Large Large Large Large Small
Levels: Large Medium Small
> locf2(c(12, NA, 10, 11, NA, NA))
[1] 12 12 10 11 11 11
Bill Dunlap
TIBCO Software
wdunlap tibco.com
On Wed, Mar 15, 2017 at 4:08 AM, Allan Tanaka wrote:
> The following is an example:
>
> | Item_Identifier | Item_Weight |
> | FDP10 | 19 |
> | FDP10 | |
> | DRI11 | 8.26 |
> | DRI11 | |
> | FDW12 | 8.315 |
> | FDW12 | |
>
>
> The following is the one that i want to be. That is, filling NA values from
> the previous Non-NA values.
> | Item_Identifier | Item_Weight |
> | FDP10 | 19 |
> | FDP10 | 19 |
> | DRI11 | 8.26 |
> | DRI11 | 8.26 |
> | FDW12 | 8.315 |
> | FDW12 | 8.315 |
>
>
> My current code data frame: train <- read.csv("Train.csv", header=T,sep =
> ",",na.strings = c(""," ",NA))
>
>
> Some people suggest to use na.locf function but in my case, i don't have
> numeric unique values in my Item_Identifier coloumn but rather it's
> characters. Not sure what to solve this problem.
>
>
> [[alternative HTML version deleted]]
>
> __
> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
__
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
[R] HELP ME: Fill NA Values from the previous Non-NA Values
The following is an example:
| Item_Identifier | Item_Weight |
| FDP10 | 19 |
| FDP10 | |
| DRI11 | 8.26 |
| DRI11 | |
| FDW12 | 8.315 |
| FDW12 | |
The following is the one that i want to be. That is, filling NA values from the
previous Non-NA values.
| Item_Identifier | Item_Weight |
| FDP10 | 19 |
| FDP10 | 19 |
| DRI11 | 8.26 |
| DRI11 | 8.26 |
| FDW12 | 8.315 |
| FDW12 | 8.315 |
My current code data frame: train <- read.csv("Train.csv", header=T,sep =
",",na.strings = c(""," ",NA))
Some people suggest to use na.locf function but in my case, i don't have
numeric unique values in my Item_Identifier coloumn but rather it's characters.
Not sure what to solve this problem.
[[alternative HTML version deleted]]
__
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
