Thanks David it worked !
One more thing. I hope it's not complicated. Is it also possible to display
the terms for each row next to it?
for example:
[1] #dac 2
[2] #dac 0
[3] #dac 1
...
On Wed, May 27, 2015 at 2:18 PM, David L Carlson <dcarl...@tamu.edu> wrote:
> Save the result of the apply() function:
>
> Out <- apply(df[ ,2:length(df)], 1, mfv)
>
> Then there are several options:
>
> Approximately what you asked for
> data.frame(Out)
> t(t(Out))
>
> More typing but exactly what you asked for
> cat(paste0("[", 1:length(Out), "] ", Out), sep="\n")
>
>
> David L. Carlson
> Department of Anthropology
> Texas A&M University
>
>
> -----Original Message-----
> From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Mohammad
> Alimohammadi
> Sent: Wednesday, May 27, 2015 1:47 PM
> To: John Kane; r-help@r-project.org
> Subject: Re: [R] Problem with comparing multiple data sets
>
> Ok. so I read about the ("modeest") package that gives the results that I
> am looking for (most repeated value).
>
> I modified the data frame a little and moved the text to the first column.
> This is the data frame with all 3 possible classes for each term.
>
> =================================
> structure(list(terms = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L,
> 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
> 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 4L, 4L,
> 4L, 4L, 4L, 3L, 3L, 3L, 3L, 2L, 2L, 2L), .Label = c("#dac",
> "#mac,#security",
> "accountability,anonymous", "data security,encryption,security"
> ), class = "factor"), class.1 = c(0L, 0L, 0L, 0L, 0L, 0L, 0L,
> 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
> 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 2L, 1L,
> 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 2L), class.2 = c(2L, 2L,
> 2L, 2L, 0L, 0L, 2L, 0L, 0L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 0L,
> 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 2L,
> 0L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 0L, 0L, 0L, 0L, 1L, 1L, 1L),
> class.3 = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
> 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
> 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 2L, 1L, 1L, 1L, 1L,
> 0L, 0L, 0L, 0L, 2L, 1L, 2L)), .Names = c("terms", "class.1",
> "class.2", "class.3"), class = "data.frame", row.names = c(NA,
> -49L))
> =============================================
> #Then I applied the function below:
>
> ======================
> library(modeest)
> df<- read.csv(file="short.csv", head= TRUE, sep=",")
> apply(df[ ,2:length(df)], 1, mfv)
>
> ============================
> # It gives the most frequent value for each row which is what I need. The
> only problem is that all the values are displayed in one single row.
>
> [1] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
> 0 0 2 1 1 1 1 0 0 0 0 2 1 2
>
> It would be much better to show them in separate rows.
> For example:
>
> [1] 0
>
> [2] 0
>
> [3] 1
> ....
>
> Any idea how to do this?
>
>
>
>
> On Wed, May 27, 2015 at 10:11 AM, Mohammad Alimohammadi <
> mxalimoha...@ualr.edu> wrote:
>
> > Hi Jim,
> >
> > Thank you for your advice.
> >
> > I'm not sure how to exactly incorporate this function though. I added a
> > portion of the actual data sets. all 3 data sets have the same items
> (text)
> > with different class values. So I need to assign the most repeated class
> > (0,1,2) for each text.
> >
> > For example: if line1 has text "aaa". It may be assigned to class 0 in
> > dat1, 2 in dat 2 and 0 in dat3. in this case the "aaa" will be assigned
> to
> > 0 (most repeated value). So it goes for each text.
> >
> > I really appreciate your help.
> >
> > =========================================
> >
> > *dat1*
> >
> > structure(list(class.1 = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
> > 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
> > 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 2L, 1L, 1L, 1L,
> > 1L, 2L, 2L, 1L, 1L, 2L, 1L, 2L), terms = structure(c(1L, 1L,
> > 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
> > 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
> > 1L, 1L, 1L, 4L, 4L, 4L, 4L, 4L, 3L, 3L, 3L, 3L, 2L, 2L, 2L), .Label =
> > c("#dac",
> > "#mac,#security", "accountability,anonymous", "data
> > security,encryption,security"
> > ), class = "factor")), .Names = c("class.1", "terms"), class =
> > "data.frame", row.names = c(NA,
> > -49L))
> >
> >
> > *dat2*
> >
> > structure(list(class.2 = c(2L, 2L, 2L, 2L, 0L, 0L, 2L, 0L, 0L,
> > 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
> > 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 2L, 0L, 2L, 2L, 2L, 1L, 1L, 2L,
> > 2L, 0L, 0L, 0L, 0L, 1L, 1L, 1L), terms = structure(c(1L, 1L,
> > 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
> > 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
> > 1L, 1L, 1L, 4L, 4L, 4L, 4L, 4L, 3L, 3L, 3L, 3L, 2L, 2L, 2L), .Label =
> > c("#dac",
> > "#mac,#security", "accountability,anonymous", "data
> > security,encryption,security"
> > ), class = "factor")), .Names = c("class.2", "terms"), class =
> > "data.frame", row.names = c(NA,
> > -49L))
> >
> >
> > *dat3*
> >
> > structure(list(class.3 = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
> > 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
> > 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 2L, 1L, 1L, 1L,
> > 1L, 0L, 0L, 0L, 0L, 2L, 1L, 2L), terms = structure(c(1L, 1L,
> > 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
> > 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
> > 1L, 1L, 1L, 4L, 4L, 4L, 4L, 4L, 3L, 3L, 3L, 3L, 2L, 2L, 2L), .Label =
> > c("#dac",
> > "#mac,#security", "accountability,anonymous", "data
> > security,encryption,security"
> > ), class = "factor")), .Names = c("class.3", "terms"), class =
> > "data.frame", row.names = c(NA,
> > -49L))
> >
> > ===========================================================
> >
> >
> > On Sun, May 24, 2015 at 1:15 AM, Jim Lemon <drjimle...@gmail.com> wrote:
> >
> >> Hi Mohammad,
> >> You know, I thought this would be fairly easy, but it wasn't really.
> >>
> >> df1<-data.frame(Class=c(0,2,1),Comment=c("com1","com2","com3"),
> >> Term=c("aac","aax","vvx"),Text=c("text1","text2","text3"))
> >> df2<-data.frame(Class=c(0,2,1),Comment=c("com1","com2","com3"),
> >> Term=c("aac","aax","vvx"),Text=c("text1","text2","text3"))
> >> df3<-data.frame(Class=c(2,1,0),Comment=c("com1","com2","com3"),
> >> Term=c("aac","aax","vvx"),Text=c("text1","text2","text3"))
> >> dflist<-list(df1,df2,df3)
> >> dflist
> >>
> >> # define a function that extracts the value from one field
> >> # selected by a value in another field
> >> extract_by_value<-function(x,field1,value1,field2) {
> >> return(x[x[,field1]==value1,field2])
> >> }
> >>
> >> # define another function that equates all of the values
> >> sub_value<-function(x,field1,value1,field2,value2) {
> >> x[x[,field1]==value1,field2]<-value2
> >> return(x)
> >> }
> >>
> >> conformity<-function(x,fieldname1,value1,fieldname2) {
> >> # get the most frequent value in fieldname2
> >> # for the desired value in fieldname1
> >> most_freq<-as.numeric(names(which.max(table(unlist(lapply(x,
> >> extract_by_value,fieldname1,value1,fieldname2))))))
> >> # now set all the values to the most frequent
> >> for(i in 1:length(x))
> >> x[[i]]<-sub_value(x[[i]],fieldname1,value1,fieldname2,most_freq)
> >> return(x)
> >> }
> >>
> >> conformity(dflist,"Text","text1","Class")
> >>
> >> Jim
> >>
> >> On Sat, May 23, 2015 at 11:23 PM, John Kane <jrkrid...@inbox.com>
> wrote:
> >> > Hi Mohammad
> >> >
> >> > Welcome to the R-help list.
> >> >
> >> > There probably is a fairly easy way to what you want but I think we
> >> probably need a bit more background information on what you are trying
> to
> >> achieve. I know I'm not exactly clear on your decision rule(s).
> >> >
> >> > It would also be very useful to see some actual sample data in useable
> >> R format.Have a look at these links
> >>
> http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example
> >> and http://adv-r.had.co.nz/Reproducibility.html for some hints on what
> >> you might want to include in your question.
> >> >
> >> > In particular, read up about dput() in those links and/or see ?dput.
> >> This is the generally preferred way to supply sample or illustrative
> data
> >> to the R-help list. It basically creates a perfect copy of the data as
> it
> >> exists on 'your' machine so that R-help readers see exactly what you do.
> >> >
> >> >
> >> >
> >> >
> >> >
> >> >
> >> >
> >> > John Kane
> >> > Kingston ON Canada
> >> >
> >> >
> >> >> -----Original Message-----
> >> >> From: mxalimoha...@ualr.edu
> >> >> Sent: Fri, 22 May 2015 12:37:50 -0500
> >> >> To: r-help@r-project.org
> >> >> Subject: [R] Problem with comparing multiple data sets
> >> >>
> >> >> Hi everyone,
> >> >>
> >> >> I am very new to R and I have a task to do. I appreciate any help. I
> >> have
> >> >> 3
> >> >> data sets. Each data set has 4 columns. For example:
> >> >>
> >> >> Class Comment Term Text
> >> >> 0 com1 aac text1
> >> >> 2 com2 aax text2
> >> >> 1 com3 vvx text3
> >> >>
> >> >> Now I need t compare the class section between 3 data sets and assign
> >> the
> >> >> most available class to that text. For example if text1 is assigned
> to
> >> >> class 0 in data set 1&2 but assigned as 2 in data set 3 then it
> should
> >> be
> >> >> assigned to class 0. If they are all the same so the class will be
> the
> >> >> same. The ideal thing would be to keep the same format and just
> update
> >> >> the
> >> >> class. Is there any easy way to do this?
> >> >>
> >> >> Thanks a lot.
> >> >>
> >> >> [[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.
> >> >
> >> > ____________________________________________________________
> >> > FREE 3D EARTH SCREENSAVER - Watch the Earth right on your desktop!
> >> >
> >> > ______________________________________________
> >> > 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.
> >>
> >
> >
> >
> > --
> > Mohammad Alimohammadi | Graduate Assistant
> > University of Arkansas at Little Rock | College of Science and
> Mathematics
> > (CSAM)
> > | mxalimoha...@ualr.edu | ualr.edu
> >
> > Public URL: http://scholar.google.com/citations?user=MsfN_i8AAAAJ
> >
>
>
>
> --
> Mohammad Alimohammadi | Graduate Assistant
> University of Arkansas at Little Rock | College of Science and Mathematics
> (CSAM)
> 501.346.8007 | mxalimoha...@ualr.edu | ualr.edu
>
> Public URL: http://scholar.google.com/citations?user=MsfN_i8AAAAJ
>
> [[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.
>
--
Mohammad Alimohammadi | Graduate Assistant
University of Arkansas at Little Rock | College of Science and Mathematics
(CSAM)
501.346.8007 | mxalimoha...@ualr.edu | ualr.edu
Public URL: http://scholar.google.com/citations?user=MsfN_i8AAAAJ
[[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.
