Re: st: adjacency matrix from neighbors for sppack

[László Sándor <sandorl@gmail.com>]

I am sorry I missed Rafal's generous reply before -- I overlooked it
as a new message to Statalist, not a reply.

In any case, I tried to do what instructed us to do, but I got what I
think is a Mata error, perhaps about a missing function. I would be
grateful if you could verify that from the echo (with trace on) below.
I just reinstalled -sppack- before the attempt, so if the function is
missing, it is missing from the latest version.

Thank you again,

Laszlo

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st: adjacency matrix from neighbors for sppack
rraciborski@stata.com ✆	
Hi Laszlo, I responed to the Statalist yesterday afternoon http://www.stata.c...
11:37 AM (22 hours ago)
Reply to all
László Sándor ✆ to rraciborski
show details 12:06 PM (21 hours ago)
I am really sorry, somehow the reply did not show up in the same
thread in GMail, though it usually does.

And I somehow did not realize from the working paper that the import
function can be useful even if I 'already have' the data as Stata
variables. The documentation in Section 15 did not suggest that, and I
did not make the connection with later examples. I could have had been
that creative.

But in short: I am greatly indebted for the tools and the help.

Thank you!

Laszlo
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László Sándor ✆ to rraciborski
show details 7:23 PM (14 hours ago)
Also, sorry, Rafal, but I got the error below from -spmat-, which I
cannot parse. The result of trace seems to suggest a Mata error, maybe
a missing function. Is that possible? I just reinstall -sppack- today.

Below is the relevant echo with trace on.

Thank you very much,

Laszlo

. spmat import adjmat using friends.raw, nlist replace
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
begin spmat ---
- version 11.1
- gettoken sub 0 : 0 , parse(" ,")
- local len = length(`"`sub'"')
= local len = length(`"import"')
- if `len'==0 {
= if 6==0 {
  di as err "No subcommand specified"
  exit 198
  }
- if `"`sub'"'==substr("idistance",1,max(5,`len')) {
= if `"import"'==substr("idistance",1,max(5,6)) {
  SPMAT_idistance `0'
  }
- else if `"`sub'"'==substr("contiguity",1,max(3,`len')) {
= else if `"import"'==substr("contiguity",1,max(3,6)) {
  cap noi SPMAT_contiguity `0'
  SPMAT_drop_tempnames `matanames'
  }
- else if `"`sub'"'==substr("use",1,max(3,`len')) {
= else if `"import"'==substr("use",1,max(3,6)) {
  SPMAT_read `0'
  }
- else if `"`sub'"'==substr("import",1,max(2,`len')) {
= else if `"import"'==substr("import",1,max(2,6)) {
- SPMAT_import `0'
= SPMAT_import  adjmat using friends.raw, nlist replace
  ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
begin spmat.SPMAT_import ---
  - syntax name using/, [ noID nlist geoda NORMalize(string) IDISTance replace ]
  - if ("`nlist'"=="nlist" & "`idistance'"=="idistance") {
  = if ("nlist"=="nlist" & ""=="idistance") {
    di "{err}idistance not allowed with nlist"
    exit(498)
    }
  - if ("`id'"!="" & "`nlist'"=="nlist") {
  = if (""!="" & "nlist"=="nlist") {
    di "{err}option {cmd:noid} not allowed with nlist"
    exit 498
    }
  - if ("`id'"!="" & "`geoda'"!="") {
  = if (""!="" & ""!="") {
    di "{err}option {cmd:noid} not allowed with geoda"
    exit 498
    }
  - SPMAT_normparse, `normalize'
  = SPMAT_normparse,
    ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------
begin spmat.SPMAT_normparse ---
    - capture syntax , [row SPEctral MINmax]
    - if _rc {
      local 0 : subinstr local 0 "," ""
      di as err `"{cmd:normalize(`0')} invalid"'
      exit 498
      }
    - if "`row'" != "" {
    = if "" != "" {
      return local normalize "row"
      exit
      }
    - else if "`spectral'" != "" {
    = else if "" != "" {
      return local normalize "spectral"
      exit
      }
    - else if "`minmax'" != "" {
    = else if "" != "" {
      return local normalize "minmax"
      exit
      }
    - else {
    - return local normalize
    - }
    ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
end spmat.SPMAT_normparse ---
  - local normalize `r(normalize)'
  = local normalize
  - if "`replace'" != "" {
  = if "replace" != "" {
  - capture spmat drop `namelist'
  = capture spmat drop adjmat
    --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
begin spmat ---
    - version 11.1
    - gettoken sub 0 : 0 , parse(" ,")
    - local len = length(`"`sub'"')
    = local len = length(`"drop"')
    - if `len'==0 {
    = if 4==0 {
      di as err "No subcommand specified"
      exit 198
      }
    - if `"`sub'"'==substr("idistance",1,max(5,`len')) {
    = if `"drop"'==substr("idistance",1,max(5,4)) {
      SPMAT_idistance `0'
      }
    - else if `"`sub'"'==substr("contiguity",1,max(3,`len')) {
    = else if `"drop"'==substr("contiguity",1,max(3,4)) {
      cap noi SPMAT_contiguity `0'
      SPMAT_drop_tempnames `matanames'
      }
    - else if `"`sub'"'==substr("use",1,max(3,`len')) {
    = else if `"drop"'==substr("use",1,max(3,4)) {
      SPMAT_read `0'
      }
    - else if `"`sub'"'==substr("import",1,max(2,`len')) {
    = else if `"drop"'==substr("import",1,max(2,4)) {
      SPMAT_import `0'
      }
    - else if `"`sub'"'==substr("export",1,max(2,`len')) {
    = else if `"drop"'==substr("export",1,max(2,4)) {
      SPMAT_export `0'
      }
    - else if `"`sub'"'==substr("save",1,max(2,`len')) {
    = else if `"drop"'==substr("save",1,max(2,4)) {
      SPMAT_save `0'
      }
    - else if `"`sub'"'=="drop" {
    = else if `"drop"'=="drop" {
    - SPMAT_drop `0'
    = SPMAT_drop  adjmat
      -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
begin spmat.SPMAT_drop ---
      - capture syntax name
      - capture mata : SPMAT_assert_object("`namelist'")
      = capture mata : SPMAT_assert_object("adjmat")
      - local rc = _rc
      - capture mata : mata drop `namelist'
      = capture mata : mata drop adjmat
      - if (`rc') di "{txt}(note: spmat object {cmd:`namelist'} not found)"
      = if (3499) di "{txt}(note: spmat object {cmd:adjmat} not found)"
      ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
end spmat.SPMAT_drop ---
    - }
    - else if `"`sub'"'==substr("graph",1,max(2,`len')) {
    = else if `"drop"'==substr("graph",1,max(2,4)) {
      SPMAT_graph `0'
      }
    - else if `"`sub'"'==substr("putmatrix",1,max(6,`len')) {
    = else if `"drop"'==substr("putmatrix",1,max(6,4)) {
      SPMAT_putmatrix `0'
      }
    - else if `"`sub'"'==substr("getmatrix",1,max(6,`len')) {
    = else if `"drop"'==substr("getmatrix",1,max(6,4)) {
      SPMAT_getmatrix `0'
      }
    - else if `"`sub'"'==substr("permute",1,max(3,`len')) {
    = else if `"drop"'==substr("permute",1,max(3,4)) {
      SPMAT_permute `0'
      }
    - else if `"`sub'"'==substr("dta",1,max(3,`len')) {
    = else if `"drop"'==substr("dta",1,max(3,4)) {
      cap noi SPMAT_dta `0'
      SPMAT_drop_tempnames `matanames'
      }
    - else if `"`sub'"'==substr("summarize",1,max(2,`len')) {
    = else if `"drop"'==substr("summarize",1,max(2,4)) {
      SPMAT_summarize `0'
      return add
      }
    - else if `"`sub'"'==substr("note",1,max(4,`len')) {
    = else if `"drop"'==substr("note",1,max(4,4)) {
      cap noi SPMAT_note `0'
      SPMAT_drop_tempnames `matanames'
      }
    - else if `"`sub'"'==substr("tobanded",1,max(3,`len')) {
    = else if `"drop"'==substr("tobanded",1,max(3,4)) {
      SPMAT_tobanded `0'
      }
    - else if `"`sub'"'==substr("copy",1,max(4,`len')) {
    = else if `"drop"'==substr("copy",1,max(4,4)) {
      SPMAT_copy `0'
      }
    - else if `"`sub'"'==substr("lag",1,max(3,`len')) {
    = else if `"drop"'==substr("lag",1,max(3,4)) {
      SPMAT_lag `0'
      }
    - else if `"`sub'"'==substr("eigenvalues",1,max(3,`len')) {
    = else if `"drop"'==substr("eigenvalues",1,max(3,4)) {
      SPMAT_eigenvalues `0'
      }
    - else if `"`sub'"'==substr("idmatch",1,max(2,`len')) {
    = else if `"drop"'==substr("idmatch",1,max(2,4)) {
      SPMAT_idmatch `0'
      }
    - else {
      di as error `"`sub' unknown subcommand"'
      exit 198
      }
    ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
end spmat ---
  - }
  - mata : SPMAT_import_u("`namelist'", `"`using'"', "`id'",
"`nlist'", "`geoda'", "`idistance'","`normalize'")
  = mata : SPMAT_import_u("adjmat", `"friends.raw"', "", "nlist", "", "","")
                 <istmt>:  3499  SPMAT_import_u() not found
  -----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
end spmat.SPMAT_import ---
  }
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
end spmat ---
r(3499);

On Thu, Apr 21, 2011 at 3:42 PM, <rraciborski@stata.com> wrote:
>
> László Sándor <sandorl@gmail.com> has a question about creating an adjacency
> matrix using the user-written command -spmat-:
>
> > I would like to use the -sppack- package for social network analysis....
> > I have IDs of friends for each individual as an observation (variables:
> > friend1-friend10). I would like to repeat basically this exercise, but
> > for -spmat-: http://www.ats.ucla.edu/stat/stata/code/adj_matrix.htm
>
> The data presented on the UCLA page is in what we call a 'neighbor list'
> format, that is, each line lists a student ID followed by the IDs of friends.
>
> As discussed in sections 13.4, 15, and 17.4 of the working paper László referred
> to in his post, we can use -spmat import- with option -nlist- to create an
> adjacency matrix from the above data.  The only requirement is that the friends
> data are in a format that -spmat import- can understand.  The help file for
> -spmat import- states that the data to be imported should be in a
> space-delimited text file and that the option -nlist-
>
>    specifies that the text file is in the neighbor-list format.
>    The first line of the file must contain the total number of
>    places....  Each remaining line lists a place ID followed by
>    its neighbors, if any.
>
> Thus, we first save the data in the friends.txt file in the required format:
>
> -------- begin friends.txt --------
> 10
> 44006 45611 55610 74158 55898
> 45611 44006 45623 45621 74158 55898
> 45621 71643 45611
> 45623 59642 71643 45611 73452 55610
> 55610 45623 45611 44006 55898 71643
> 55898 74158 55610 45621
> 59642 55898 71643 45621 45611 74158
> 71643 55898 73452 59642 45611 44006
> 73452 71643 45623
> 74158 55898 45611 59642 45621 44006
> --------- end friends.txt ---------
>
> Now we are ready to create an adjacency matrix using -spmat import-:
>
>  . spmat import adj using friends.txt, nlist
>
> We created a spatial-weighting object named 'adj' that contains the adjacency
> matrix constructed from the data contained in the file friends.txt.  László can
> verify that the resulting adjacency matrix is identical to the one presented on
> the UCLA page by typing
>
>  . spmat getmatrix adj W id
>  . mata: id, W
>
> --Rafal
> rraciborski@stata.com
> *
> *   For searches and help try:
> *   http://www.stata.com/help.cgi?search
> *   http://www.stata.com/support/statalist/faq
> *   http://www.ats.ucla.edu/stat/stata/

*
*   For searches and help try:
*   http://www.stata.com/help.cgi?search
*   http://www.stata.com/support/statalist/faq
*   http://www.ats.ucla.edu/stat/stata/