On Thu, Sep 23, 2010 at 12:18 PM, rasanpreet kaur suri
wrote:
> hi guys..thx for help
> i have to perform a calculation
> P-B/T-B
> where P is the values in pdf and B is the values in bdf and T in tdf
You have 69 rows in your pdf data.frame, and something like 20 rows in
bdf and tdf, so my origin
hi guys..thx for help
i have to perform a calculation
P-B/T-B
where P is the values in pdf and B is the values in bdf and T in tdf
On Thu, Sep 23, 2010 at 7:49 PM, Mike Rennie wrote:
> First, you might want to start by generating a new column to identify your
> 'pdf" and "bdf" or whatever once
First, you might want to start by generating a new column to identify your
'pdf" and "bdf" or whatever once it's merged.
For the merging, see
?merge
But as someone's already pointed out, it's not clear what you are trying to
merge by.
Also, as your example calculations show, you don't need to m
Hi,
On Thu, Sep 23, 2010 at 9:04 AM, rasanpreet wrote:
>
> hi guys
> i have multiple data frames which i want to merge.
> there are four of them..eg
Can you provide a (correct) example of what you want your merged
data.frame to look like?
What column do you want to use in your data.frame to mer
hi guys
i have multiple data frames which i want to merge.
there are four of them..eg
pdf
SampleID UVDose_J RepairHours Day_0 Day_45 Day_90
1SDM001 1.0 3 485.612 465.142 490.873
2SDM001 1.0 3 503.658 457.863 487.783
3SDM001 1.0 2 533.1
Hi all,
I'm a little stumped on this.
I have 5 data frames with continuous GPS coordinates at 5 to 10 m
spacing. Due to the different GPS units used, data collected within
one to two sec apart have coordinates that differ by 3 to 5 m on
average. I'd like to aggrate the data frames relative t
It appears that these are time series (i.e. there is only one value of
River Mile in any one data frame) so if that's right you would be better
off representing them as time series. Using zoo:
> library(zoo)
> feb06.z <- zoo(feb06[,2], feb06[,1])
> may06.z <- zoo(may06[,2], may06[,1])
> jun06.z <
merge can only merge two objects at a time- I would like to merge more than
two objects at a time.
s.d <- structure(list(RiverMile = c(202L, 198L, 190L, 185L, 179L, 148L,
119L, 61L)), .Names = "RiverMile", row.names = c(NA, -8L), class =
"data.frame")
#s.d is all of the river miles that can occur
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