= sec1[grep("DF_API: input string",sec1$V1, perl = TRUE),]
head(sec1_test2)
write.csv(sec1_test, file = "test_out.txt", row.names = F, quote = F)
write.csv(sec1_test2, file = "test2_out.txt", row.names = F, quote = F)
Data (and code) is given at the link below. Sorry,
02 A
> 902 B
>
> Some folks prefer to use subset() instead of "[". The previous expression
> is equivalent to:
>
> > unique( subset(d, Category=="EQ", c("ATP Group", "Business Event")))
> ATP Grou
|AC |
|02 |B |AY |
|02 |B |EQ |
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Satish Vadlamani
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Hello All:
I posted one question in the past and another today and hope to get the
same excellent help that I got last time.
My question is this: is there any way to subcribe to the forum so that I
can see the questions and answers posted to r-help?
Thanks,
--
Satish Vadlamani
ocess_SLS_4.txt" will make it clear what I am trying to do. I
want to compare the parallel process times taken for each step with the non
parallel process times.
If there are better ways of performing this task that what I am thinking,
could you let me know? Thanks in advanc
match, nodes)
>
> # use the igraph package to identify disconnected groups
> library(igraph)
> g <- graph(edges)
> ngroup <- clusters(g)$membership
> df$Group <- ngroup[match(df$Component, nodes)]
> df
>
> Component TLA Group
> 1C1 TLA1 1
> 2
on this. I could have looped through the observations
and tried some logic but I did not try that yet.
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Satish Vadlamani
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Folks:
Can anyone throw some light on this? Thanks.
Satish
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Satish Vadlamani
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something, please let me know. Thanks.
Satish
End State
Satish wrote: at one time I will need to load say 15GB into R
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Satish Vadlamani
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