Displaying 4 results from an estimated 4 matches for "dat11".
Did you mean:
dat1
2008 Oct 08
1
Choose subset for plot use (bwplot)
Hello, this code below was from a helpful R-help user.
dat <- read.csv("Resid_fix2.csv", sep="," , header=T)
dat11 <- dat[1:413,]
# convert ambiguous columns to factors:
dat11$Pri_No <- factor(dat11$Pri_No)
dat11$RecovUnit <- factor(dat11$RecovUnit)
# plot:
require(lattice)
bwplot(bbED~ Pri_No | RecovUnit, data=dat11, as.table=TRUE, layout=c(4,1))
This works, but I am trying to do this:
> bwplot(...
2010 Oct 15
7
Problem with merging two zoo objects
Dear all, I have following 2 zoo objects. However when I try to merge those 2 objects into one, nothing is coming as intended. Please see below the objects as well as the merged object:
> dat11
V2 V3 V4 V5
2010-10-15 13:43:54 73.8 73.8 73.8 73.8
2010-10-15 13:44:15 73.8 73.8 73.8 73.8
2010-10-15 13:45:51 73.8 73.8 73.8 73.8
2010-10-15 13:46:21 73.8 73.8 73.8 73.8
2010-10-15 13:47:27 73.8 73.8 73.8 73.8
2010-10-15 13:47:54 73.8 73.8 73.8 73.8
2010-10-15 13:49:51...
2010 Mar 30
2
Need help to split a given matrix is a "sequential" way
...80
[2,] 200 150 180
[3,] 200 50 140
[4,] 200 150 100
[5,] 200 50 180
[,1] [,2] [,3]
[1,] 100 180 80
[2,] 100 150 60
[3,] 100 50 60
[4,] 100 100 100
[5,] 100 50 120
Now each of dat1 and dat2 needs to be splited according to the it's 2nd
column i.e.
> dat11 <- dat1[which(dat1[,2] == unique(dat1[,2])[1]),]
> dat12 <- dat1[which(dat1[,2] == unique(dat1[,2])[2]),]
> dat13 <- dat1[which(dat1[,2] == unique(dat1[,2])[3]),]; dat11; dat12;
> dat13
[1] 200 100 80
[,1] [,2] [,3]
[1,] 200 150 180
[2,] 200 150 100
[,1] [,2] [,3]...
2011 Nov 27
1
Simplifying my code
...problem. Here is the code:
dat1=complete(dat.mice,1)
dat2=complete(dat.mice,2)
dat3=complete(dat.mice,3)
dat4=complete(dat.mice,4)
dat5=complete(dat.mice,5)
dat6=complete(dat.mice,6)
dat7=complete(dat.mice,7)
dat8=complete(dat.mice,8)
dat9=complete(dat.mice,9)
dat10=complete(dat.mice,10)
dat11=complete(dat.mice,11)
dat12=complete(dat.mice,12)
dat13=complete(dat.mice,13)
dat14=complete(dat.mice,14)
dat15=complete(dat.mice,15)
dat16=complete(dat.mice,16)
dat17=complete(dat.mice,17)
dat18=complete(dat.mice,18)
dat19=complete(dat.mice,19)
dat20=complete(dat.mice,20)
I would like t...