Not exactly. I need something to subset ONLY rows common to both
dataframes. In the provided example, dat1 and dat2 have no common rows
so I would expect:
[1] v1 v2
0 rows (or 0-length row.names)
But I can´t do it...
On Sun, 11 May 2008 10:07:25 -0400, Zhuanshi He
[EMAIL PROTECTED] said:
It is giving you exactly what you are asking for. You asked first which of
dat1$v1 were in dat2$v; you got a TRUE on the second value (2006-05-03):
dat1$v1 %in% dat2$v1
[1] FALSE TRUE TRUE FALSE TRUE FALSE TRUE TRUE FALSE FALSE FALSE FALSE
FALSE
You then asked for which of dat1$v2 were in
Here is one way to compare the entire rows between the data frames:
x1 - do.call(paste, dat1)
x2 - do.call(paste, dat2)
dat1[x1 %in% x2,]
[1] v1 v2
0 rows (or 0-length row.names)
x1
[1] 2006-01-03 7312.5 2006-05-03 3352.5 2006-05-04 4252.5 2006-05-11
3825
[5] 2006-05-12 2700 2006-05-16
Dear Jim,
Maybe u want this,
subset(dat2, time1 %in% dat2$v1 time2 %in% dat2$v1)
v1 v2
2 2006-05-09 7065.0
3 2006-05-04 3622.5
5 2006-07-14 3532.5
7 2006-05-12 6480.0
8 2006-05-17 4612.5
15 2006-07-05 4837.5
16 2006-07-06 3352.5
18 2006-07-24 6772.5
20 2006-07-18 5625.0
Dear Jim,
The following codes maybe helps.
for (i in 1:length(dat1[,1])) {
for (j in 1:length(dat2[,1])) {
if (dat1[i,1] == dat2[j,1] dat1[i,2] == dat2[j,2]) print (j)
}
}
time1- as.Date(c(2006-01-03, 2006-05-03, 2006-05-04,
2006-05-11, 2006-05-12, 2006-05-16, 2006-05-19,
Dear list:
I have two dataframes, say dat1 and dat2. Each has several variables but
3 of each are common in both, (say v1, v2 and v3). v1 and v2 are
factores while v3 is numeric. Now, I need a subset to extract the rows
in which v1, v2 and v3 are the same in both dataframes.
I tried:
This seems to work for me:
set.seed(1)
df1 - data.frame(v1=factor(sample(1:4,20,TRUE)),
v2=factor(sample(1:3,20,TRUE)), v3=sample(1:3,20,TRUE))
df2 - data.frame(v1=factor(sample(1:2,20,TRUE)),
v2=factor(sample(1:2,20,TRUE)), v3=sample(1:2,20,TRUE))
subset(df1, (df1$v1 %in% df2$v1)
Thanks for your reply.
In fact I dont get none error message, I just simply found that some
rows do not match in both dataframes. I thought it was some evident
problem with my code, but it seems it is not. I'll try to check and if I
can, I'll post a reproducible example.
Justin
On Sat, 10 May
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