Hi Md,
This kind of clunky, but it might do what you want.
df1<-read.table(text="Date Rainfall_Duration
6/14/2016 10
6/15/2016 20
6/17/2016 10
8/16/2016 30
8/19/2016 40",
header=TRUE,stringsAsFactors=FALSE)
df1$Date<-as.Date(df1$Date,"%m/%d/%Y")
df2<-read.table(text="Date Removal.Rate
6/17/2016 64.7
6/30/2016 22.63
7/14/2016 18.18
8/19/2016 27.87",
header=TRUE,stringsAsFactors=FALSE)
df2$Date<-as.Date(df2$Date,"%m/%d/%Y")
df3<-data.frame(Rate.Removal.Date=NULL,Date=NULL,Rainfall_Duration=NULL)
df3row<-0
for(i in 1:dim(df2)[1]) {
rdrows<-which(df2$Date[i] >= df1$Date & !(df2$Date[i] > df1$Date +
8))
if(!length(rdrows)) rdrows<-lastrows
lastrows<-rdrows
nrows<-length(rdrows)
for(row in 1:nrows) {
df3[row+df3row,1]<-format(df2$Date[i],"%m/%d/%Y")
df3[row+df3row,2]<-format(df1$Date[rdrows[row]],"%m/%d/%Y")
df3[row+df3row,3]<-df1$Rainfall_Duration[rdrows[row]]
}
df3row<-df3row+nrows
}
names(df3)<-c("Rate.Removal.Date","Date","Rainfall_Duration")
df3
Jim
On Wed, Feb 1, 2017 at 3:48 AM, Md Sami Bin Shokrana <samimist at
live.com> wrote:> Hello guys, I am trying to solve a problem in R. I have 2 data frames which
look like this:
> df1 <-
> Date Rainfall_Duration
> 6/14/2016 10
> 6/15/2016 20
> 6/17/2016 10
> 8/16/2016 30
> 8/19/2016 40
>
> df2 <-
> Date Removal.Rate
> 6/17/2016 64.7
> 6/30/2016 22.63
> 7/14/2016 18.18
> 8/19/2016 27.87
>
> I want to look up the dates from df2 in df1 and their corresponding
Rainfall_Duration data. For example, I want to look for the 1st date of df2 in
df1 and subset rows in df1 for that specific date and 7 days prior to that.
additionally, for example: for 6/30/2016 (in df2) there is no dates available in
df1 within it's 7 days range. So, in this case I just want to extract the
results same as it's previous date (6/17/2016) in df2. Same logic goes for
7/14/2016(df2).
> The output should look like this:
>
> df3<-
>
> Rate.Removal.Date Date Rainfall_Duration
> 6/17/2016 6/14/2016 10
> 6/17/2016 6/15/2016 20
> 6/17/2016 6/17/2016 10
> 6/30/2016 6/14/2016 10
> 6/30/2016 6/15/2016 20
> 6/30/2016 6/17/2016 10
> 7/14/2016 6/14/2016 10
> 7/14/2016 6/15/2016 20
> 7/14/2016 6/17/2016 10
> 8/19/2016 8/16/2016 30
> 8/19/2016 8/19/2016 40
>
> I could subset data for the 7 days range. But could not do it when no dates
are available in that range. I have the following code:
> library(plyr)
> library (dplyr)
> df1$Date <- as.Date(df1$Date,format = "%m/%d/%Y")
> df2$Date <- as.Date(df2$Date,format = "%m/%d/%Y")
>
> df3 <- lapply(df2$Date, function(x){
> filter(df1, between(Date, x-7, x))
> })
>
> names(df3) <- as.character(df2$Date)
> bind_rows(df3, .id = "Rate.Removal.Date")
> df3 <- ldply (df3, data.frame, .id = "Rate.Removal.Date")
>
> I hope I could explain my problem properly. I would highly appreciate if
someone can help me out with this code or a new one. Thanks in advance.
>
>
>
>
> [[alternative HTML version deleted]]
>
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