问题
I`m working with a ffdf object which has NAs in some of the columns. The NAs are the result of a left outer merge using merge.ffdf.I would like to replace the NAs with 0s but not managing to do it. Here is the code I am running:
library(ffbase)
deals <- merge(deals,rk,by.x=c("DEALID","STICHTAG"),by.y=c("ID","STICHTAG"),all.x=TRUE)
attributes(deals)
$names
[1] "virtual" "physical" "row.names"
$class
[1] "ffdf"
vmode(deals$CREDIT_R)
[1] "double"
idx <- ffwhich(deals,is.na(CREDIT_R)) # CREDIT_R is one of the columns with NAs
deals.strom[idx,"CREDIT_R"]<-0
error in `[<-.ffdf`(`*tmp*`, idx, "CREDIT_R", value = 0) :
ff/ffdf-iness of value and selected columns don't match
Any idea what I am doing wrong? In general I would like to learn more about replacing methods for class ff and ffdf. Any suggestion where I can find some examples about the topic?
回答1:
The manual of package ff indicates a function called ffindexset.
idx <- is.na(deals$CREDIT_R) ## This uses is.na.ff_vector from ffbase
idx <- ffwhich(idx, idx == TRUE) ## Is part of ffbase
deals$CREDIT_R <- ffindexset(x=deals$CREDIT_R, index=idx, value=ff(0, length=length(idx), vmode = "double")) ## Is part of ff
deals$CREDIT_R[idx] <- ff(0, length=length(idx), vmode = "double") ## this one will probably also work
Also have a look at ?Extract.ff
来源:https://stackoverflow.com/questions/13510838/replace-nas-in-a-ffdf-object