OK. I will try to explain in the best way:
Starting point: I had an arc list (like list provided by social network
softwares: Pajek, Ucinet...) With this form:
ID1 IDP2 SUMVAL
1 2 0.065
1 3 0.044
3 1 0.071
3 4 0.016
3 5 0.011
4 3 0.004
4 7 0.004
4 9 0.004
...
I transformed this list (recorded in a CSV file) into "matrix" using this code:
> nbrs <-
> read.table("C:/Users/AJ/Desktop/paper3/prueba3/pajek/mix_dc_cc_cp_jidpajek.csv",
> header=T, quote="\"")
> mymatrix <- xtabs(SUM_NORM_DC_CC_CP ~ IDP1 + IDP2, data=nbrs)
> write.table(mymatrix, file = "C:/backup/matriz_v3.csv"), row.names= FALSE,
> col.names= FALSE)
Now my intention is to calculate cosine similarities on data of this "matrix"
(14179 rows x 10317 columns). In order to do this I have tried:
> library(lsa)
> matrix_v3 <-
> read.table("C:/Users/AJ/Desktop/paper3/matriz_lista_10/matrix_v3.csv", sep= "
> ", header= F)
> as.matrix <- matrix_v3
> cosine(matrix_v3, y = NULL)
And R returns me this message:
Error en cosine(matrix_v3) : argument mismatch. Either one matrix or two
vectors needed as input.
After that, I tried to convert "matrix_v3" using > cosine(matrix_v3, y = NULL)
but it was not possible.
That's all. I hope this is enough. Thanks and sorry for inconvenience.
AJ
> Date: Thu, 23 Feb 2012 13:15:16 +0100
> From: lig...@statistik.tu-dortmund.de
> To: anxu...@hotmail.com
> CC: r-help@r-project.org
> Subject: Re: [R] Problems with Cosine Similarity using library(lsa)
>
>
>
> On 23.02.2012 13:07, A J wrote:
> >
> > Thanks Uwe, you vere right. Now the library is working but I have next
> > problem as well.
> >
> > I have loaded a matrix (named matrix_v3) from a TXT file. This matrix was
> > previously reached using xtabs function. Now I have used this formula to
> > obtain cosine similarities from my data matrix (following instructions of
> > lsa package instructions):
> >
> >> cosine(matrix_v3, y = NULL)
> >
> > Finally R returns this message:
> >
> > Error en cosine(matrix_v3, y = NULL) : argument mismatch. Either one
> > matrix or two vectors needed as input.
> >
> > I understand that R don't contemplate matrix_v3 like a real matrix. If this
> > is like this, how can I do? I have tried "as.matrix" but it does not work.
> > Sorry if my questions are not very fine, but I am newbie in using R.
>
>
> We do not know what you object matrix_v3 is, so how could we help?
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
>
> > Thanks again.
> >
> >
> >> Date: Thu, 23 Feb 2012 11:35:04 +0100
> >> From: lig...@statistik.tu-dortmund.de
> >> To: anxu...@hotmail.com
> >> CC: r-help@r-project.org
> >> Subject: Re: [R] Problems with Cosine Similarity using library(lsa)
> >>
> >> The error message suggests that you do not have Java installed. And
> >> since you said it works in 32-bit: You only have a 32-bit Java but no
> >> 64-bit Java installed in your machine.
> >>
> >> Uwe Ligges
> >>
> >>
> >> On 23.02.2012 11:08, A J wrote:
> >>>
> >>> Hi everybody!
> >>>
> >>> I have intended to use library(lsa) on R 64-bits for Windows but it was
> >>> not possible. Every time I try to launch library(lsa) function R give me
> >>> back next message:
> >>>
> >>> Loading required package: SnowballError : .onLoad failed in
> >>> loadNamespace() for 'Snowball', details: call: NULL error: .onLoad
> >>> failed in loadNamespace() for 'rJava', details: call: stop("No
> >>> CurrentVersion entry in '", key, "'! Try re-installing Java and make sure
> >>> R and Java have matching architectures.") error: objeto 'key' no
> >>> encontradoError: package Snowball could not be loaded
> >>>
> >>> Of course, I have loaded all necessary packages, but the only way to
> >>> library(lsa) works it is on R 32-bits release. The problem here is that R
> >>> don't leave me to load all data from my matrix and tell me that it is not
> >>> able to load big vectors (may be due to limitations on memory of 32-bit
> >>> release).
> >>>
> >>> The issue is that I need to calculate cosine similarities on my matrix
> >>> data. Has somebody any suggestion or idea about how to do it (a different
> >>> library or a formula to get it)?
> >>>
> >>> Thanks in advance.
> >>>
> >>> Best,
> >>>
> >>> AJ
> >>> [[alternative HTML version deleted]]
> >>>
> >>>
> >>>
> >>>
> >>> ______________________________________________
> >>> R-help@r-project.org mailing list
> >>> 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.
> >
[[alternative HTML version deleted]]
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