Re: [R] Doubt_merging data

2018-04-09 Thread MacQueen, Don
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You will need to say what you mean by "join". It's not a standard term with a 
universally agreed upon meaning within R.

If you have 5 data frames, each with 5 rows, and it makes sense that after 
joining you should have one data frame with 25 rows and the same number of 
columns, then rbind() is probably what you want.

If you have 5 data frames, each with 5 rows, and it makes sense that after 
joining you should have one data frame with 5 rows, and more columns, then 
merge() is probably what you want.

But some of your code suggests you have a somewhat complex data structure, so 
it's hard to say.

extract() is not a base R function; when asking for help one should indicate 
where non-base functions come from.

-Don

--
Don MacQueen
Lawrence Livermore National Laboratory
7000 East Ave., L-627
Livermore, CA 94550
925-423-1062
Lab cell 925-724-7509
 
 
On 4/8/18, 3:47 PM, "R-help on behalf of Lara Dutra Silva" 
 wrote:

Hello,

I gather data from 5 objects and 5 data. frames and  would like to join
information.

join:  pb_SM + pb_T + pb_P + pb_F + pb_SJ = total_pb


join: sdmdata_SM + sdmdata_T + sdmdata_P + sdmdata_F + sdmdata_SJ
=total_sdmdata
code:
rbind, merge?

total_pb<-   ??

total_sdmdata<-   ??


1

absvals_SM <- extract(grid_present_SM, absences_1)

presvals_SM <- extract(grid_present_SM, LSM)

pb_SM <- c(rep(1, nrow(presvals_SM), rep(0, nrow(absvals_SM)))

sdmdata_SM <- data.frame(cbind(pb_SM, rbind(presvals_SM, absvals_SM))

##
2

absvals_T <- extract(grid_present_T, absences_1)

presvals_T <- extract(grid_present_T, LT)

pb_T <- c(rep(1, nrow(presvals_T), rep(0, nrow(absvals_T)))

sdmdata_T <- data.frame(cbind(pb_T, rbind(presvals_T, absvals_T))

  ##

3

absvals_P <- extract(grid_present_T, absences_1)

presvals_P <- extract(grid_present_P, LP)

pb_P <- c(rep(1, nrow(presvals_P), rep(0, nrow(absvals_P)))

sdmdata_P <- data.frame(cbind(pb_P, rbind(presvals_P, absvals_P))

##

4

absvals_F <- extract(grid_present_F, absences_1)

presvals_F <- extract(grid_present_F, LF)

pb_F <- c(rep(1, nrow(presvals_F), rep(0, nrow(absvals_F)))

sdmdata_F <- data.frame(cbind(pb_F, rbind(presvals_F, absvals_F))


   ##

5

absvals_SJ <- extract(grid_present_SJ, absences_1)

presvals_SJ <- extract(grid_present_SJ, LSJ)

pb_SJ <- c(rep(1, nrow(presvals_SJ), rep(0, nrow(absvals_SJ)))

sdmdata_SJ <- data.frame(cbind(pb_SJ, rbind(presvals_SJ, absvals_SJ))


Regards,

Silva







Sem
vírus. www.avg.com


<#DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2>

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Re: [R] Doubt_merging data

2018-04-08 Thread Jeff Newmiller
I don't see how anyone can help you if you don't provide the input data (or a 
fake version of the data) you are using. 

On April 8, 2018 3:47:55 PM PDT, Lara Dutra Silva  
wrote:
>Hello,
>
>I gather data from 5 objects and 5 data. frames and  would like to join
>information.
>
>join:  pb_SM + pb_T + pb_P + pb_F + pb_SJ = total_pb
>
>
>join: sdmdata_SM + sdmdata_T + sdmdata_P + sdmdata_F + sdmdata_SJ
>=total_sdmdata
>code:
>rbind, merge?
>
>total_pb<-   ??
>
>total_sdmdata<-   ??
>
>
>1
>
>absvals_SM <- extract(grid_present_SM, absences_1)
>
>presvals_SM <- extract(grid_present_SM, LSM)
>
>pb_SM <- c(rep(1, nrow(presvals_SM), rep(0, nrow(absvals_SM)))
>
>sdmdata_SM <- data.frame(cbind(pb_SM, rbind(presvals_SM, absvals_SM))
>
>##
>2
>
>absvals_T <- extract(grid_present_T, absences_1)
>
>presvals_T <- extract(grid_present_T, LT)
>
>pb_T <- c(rep(1, nrow(presvals_T), rep(0, nrow(absvals_T)))
>
>sdmdata_T <- data.frame(cbind(pb_T, rbind(presvals_T, absvals_T))
>
>  ##
>
>3
>
>absvals_P <- extract(grid_present_T, absences_1)
>
>presvals_P <- extract(grid_present_P, LP)
>
>pb_P <- c(rep(1, nrow(presvals_P), rep(0, nrow(absvals_P)))
>
>sdmdata_P <- data.frame(cbind(pb_P, rbind(presvals_P, absvals_P))
>
>##
>
>4
>
>absvals_F <- extract(grid_present_F, absences_1)
>
>presvals_F <- extract(grid_present_F, LF)
>
>pb_F <- c(rep(1, nrow(presvals_F), rep(0, nrow(absvals_F)))
>
>sdmdata_F <- data.frame(cbind(pb_F, rbind(presvals_F, absvals_F))
>
>
>   ##
>
>5
>
>absvals_SJ <- extract(grid_present_SJ, absences_1)
>
>presvals_SJ <- extract(grid_present_SJ, LSJ)
>
>pb_SJ <- c(rep(1, nrow(presvals_SJ), rep(0, nrow(absvals_SJ)))
>
>sdmdata_SJ <- data.frame(cbind(pb_SJ, rbind(presvals_SJ, absvals_SJ))
>
>
>Regards,
>
>Silva
>
>
>
>
>
>
>Sem
>vírus. www.avg.com
>
><#DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2>
>
>   [[alternative HTML version deleted]]
>
>__
>R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
>https://stat.ethz.ch/mailman/listinfo/r-help
>PLEASE do read the posting guide
>http://www.R-project.org/posting-guide.html
>and provide commented, minimal, self-contained, reproducible code.

-- 
Sent from my phone. Please excuse my brevity.

__
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.