Re: [R] XML: Reading transition matrices into R

2009-11-13 Thread stefan.d...@gmail.com 
Thank you so much
You really helped me a lot!
Best from R'dam,
Stefan



On Fri, Nov 13, 2009 at 2:14 AM, Duncan Temple Lang
dun...@wald.ucdavis.edu wrote:


 stefan.d...@gmail.com wrote:
 Hello,
 thanks a lot. This is a form which I can work with in R.

 Another question, which I hope is not a bridge too far: Can I write
 the R matrix which your code created back into the xml format (i.e.
 with the same tags and structure) from which it came and hence feed it
 back to the original software?


 trans = apply(xx, 1, function(x) {
                       tr = newXMLNode(transition)
                       mapply(newXMLNode, names(x), x, MoreArgs = list(parent 
 = tr))
                       tr
                     })
 top = newXMLNode(transitionmatrix, .children = trans)
 saveXML(top, newTransition.xml)





 Best,
 Stefan


 On Thu, Nov 12, 2009 at 3:17 PM, Duncan Temple Lang
 dun...@wald.ucdavis.edu wrote:

 stefan.d...@gmail.com wrote:
 Hello,
 from a software I have the following output in xml (see below):
 It is a series of matrices, for each age one. I have 3 categories
 (might vary in the application), hence, 3x3 matrices where each
 element gives the probability of transition from i to j. I would like
 read this data into R (preferably in a list, where each list element
 is one of the age specific matrices) and - after altering the values
 in R - write it back into the file.  I know that there is an xml
 package in R with which I have already struggled, but I have to admit
 my understanding is too limited. Maybe somebody had a similar problem
 or know the code of the top of his or her head.
 Hi Stefan

  There are many approaches for handling this. I assume that the primary
 obstacle you are facing is extracting the values from the XML.  The 
 following
 will do that for you.
 We start with the content in transition.xml (or in a string in R).
 Since the XML is very shallow, i.e. not very hierarchical, and all
 the information is in the transition nodes under the root, we can
 use xmlToList().
 This returns a list with an element for each transition
 element, and such elements are character vectors containing the
 values from age, sex, from, to, and percent.
 So I've put these into a matrix and you are now back entirely
 within R and can group the values by age and arrange them into
 the individual transition matrices.


   doc = xmlParse(transition.xml)
   matrix(as.numeric(unlist(xmlToList(doc))), , 5, byrow = TRUE,
          dimnames = list(NULL, names(xmlRoot(doc)[[1]])))


  D.



 Any help appreciated.

 Thanks and best,
 Stefan





 ?xml version=1.0 encoding=UTF-8 standalone=no?transitionmatrix
 transitionage0/agesex0/sexfrom1/fromto1/topercent99.9/percent/transitiontransitionage0/agesex0/sexfrom1/fromto2/topercent0.0/percent/transitiontransitionage0/agesex0/sexfrom1/fromto3/topercent0.0/percent/transitiontransitionage0/agesex0/sexfrom2/fromto1/topercent0.0/percent/transitiontransitionage0/agesex0/sexfrom2/fromto2/topercent99.85/percent/transitiontransitionage0/agesex0/sexfrom2/fromto3/topercent0.0/percent/transitiontransitionage0/agesex0/sexfrom3/fromto1/topercent0.0/percent/transitiontransitionage0/agesex0/sexfrom3/fromto2/topercent0.0/percent/transitiontransitionage0/agesex0/sexfrom3/fromto3/topercent99.85/percent/transitiontransitionage0/agesex1/sexfrom1/fromto1/topercent100.0/percent/transitiontransitionage
 0
 /!
  agesex1/sexfrom1/fromto2/topercent0.0/percent/transitiontransitionage0/agesex1/sexfrom1/fromto3/topercent0.0/percent/transitiontransitionage0/agesex1/sexfrom2/fromto1/topercent0.0/percent/transitiontransitionage0/agesex1/sexfrom2/fromto2/topercent100.0/percent/transitiontransitionage0/agesex1/sexfrom2/fromto3/topercent0.0/percent/transitiontransitionage0/agesex1/sexfrom3/fromto1/topercent0.0/percent/transitiontransitionage0/agesex1/sexfrom3/fromto2/topercent0.0/percent/transitiontransitionage0/agesex1/sexfrom3/fromto3/topercent100.0/percent/transitiontransitionage1/agesex0/sexfrom1/fromto1/topercent99.9/percent/transitiontransitionage1/agesex0/sexfrom1/fromto2/topercent0.0/percent/transitiontransitionage1/agesex0/sexfrom1/f
 ro
 m!
  to3/topercent0.0/percent/transitiontransitionage1/age
 sex0/sexfrom2/fromto1/topercent0.0/percent/transitiontransitionage1/agesex0/sexfrom2/fromto2/topercent99.85/percent/transitiontransitionage1/agesex0/sexfrom2/fromto3/topercent0.0/percent/transitiontransitionage1/agesex0/sexfrom3/fromto1/topercent0.0/percent/transitiontransitionage1/agesex0/sexfrom3/fromto2/topercent0.0/percent/transitiontransitionage1/agesex0/sexfrom3/fromto3/topercent99.85/percent/transitiontransitionage1/agesex1/sexfrom1/fromto1/topercent100.0/percent/transitiontransitionage1/agesex1/sexfrom1/fromto2/topercent0.0/percent/transitiontransitionage1/agesex1/sexfrom1/fromto3/topercent0.0/percent/transitiontransitionage1/agesex1/sexfrom2/fromto1/topercent0.0/percent/transitiontransitionage1/agesex1/sexfrom2/f
 ro
 m!
  

[R] XML: Reading transition matrices into R

2009-11-12 Thread stefan.d...@gmail.com 
Hello,
from a software I have the following output in xml (see below):
It is a series of matrices, for each age one. I have 3 categories
(might vary in the application), hence, 3x3 matrices where each
element gives the probability of transition from i to j. I would like
read this data into R (preferably in a list, where each list element
is one of the age specific matrices) and - after altering the values
in R - write it back into the file.  I know that there is an xml
package in R with which I have already struggled, but I have to admit
my understanding is too limited. Maybe somebody had a similar problem
or know the code of the top of his or her head.

Any help appreciated.

Thanks and best,
Stefan





?xml version=1.0 encoding=UTF-8 standalone=no?transitionmatrix
transitionage0/agesex0/sexfrom1/fromto1/topercent99.9/percent/transitiontransitionage0/agesex0/sexfrom1/fromto2/topercent0.0/percent/transitiontransitionage0/agesex0/sexfrom1/fromto3/topercent0.0/percent/transitiontransitionage0/agesex0/sexfrom2/fromto1/topercent0.0/percent/transitiontransitionage0/agesex0/sexfrom2/fromto2/topercent99.85/percent/transitiontransitionage0/agesex0/sexfrom2/fromto3/topercent0.0/percent/transitiontransitionage0/agesex0/sexfrom3/fromto1/topercent0.0/percent/transitiontransitionage0/agesex0/sexfrom3/fromto2/topercent0.0/percent/transitiontransitionage0/agesex0/sexfrom3/fromto3/topercent99.85/percent/transitiontransitionage0/agesex1/sexfrom1/fromto1/topercent100.0/percent/transitiontransitionage0/!
 
agesex1/sexfrom1/fromto2/topercent0.0/percent/transitiontransitionage0/agesex1/sexfrom1/fromto3/topercent0.0/percent/transitiontransitionage0/agesex1/sexfrom2/fromto1/topercent0.0/percent/transitiontransitionage0/agesex1/sexfrom2/fromto2/topercent100.0/percent/transitiontransitionage0/agesex1/sexfrom2/fromto3/topercent0.0/percent/transitiontransitionage0/agesex1/sexfrom3/fromto1/topercent0.0/percent/transitiontransitionage0/agesex1/sexfrom3/fromto2/topercent0.0/percent/transitiontransitionage0/agesex1/sexfrom3/fromto3/topercent100.0/percent/transitiontransitionage1/agesex0/sexfrom1/fromto1/topercent99.9/percent/transitiontransitionage1/agesex0/sexfrom1/fromto2/topercent0.0/percent/transitiontransitionage1/agesex0/sexfrom1/from!
 to3/topercent0.0/percent/transitiontransitionage1/age
sex0/sexfrom2/fromto1/topercent0.0/percent/transitiontransitionage1/agesex0/sexfrom2/fromto2/topercent99.85/percent/transitiontransitionage1/agesex0/sexfrom2/fromto3/topercent0.0/percent/transitiontransitionage1/agesex0/sexfrom3/fromto1/topercent0.0/percent/transitiontransitionage1/agesex0/sexfrom3/fromto2/topercent0.0/percent/transitiontransitionage1/agesex0/sexfrom3/fromto3/topercent99.85/percent/transitiontransitionage1/agesex1/sexfrom1/fromto1/topercent100.0/percent/transitiontransitionage1/agesex1/sexfrom1/fromto2/topercent0.0/percent/transitiontransitionage1/agesex1/sexfrom1/fromto3/topercent0.0/percent/transitiontransitionage1/agesex1/sexfrom2/fromto1/topercent0.0/percent/transitiontransitionage1/agesex1/sexfrom2/from!
 to2/topercent100.0/percent/transitiontransitionage1/agesex1/sexfrom2/fromto3/topercent0.0/percent/transitiontransitionage1/agesex1/sexfrom3/fromto1/topercent0.0/percent/transitiontransitionage1/agesex1/sexfrom3/fromto2/topercent0.0/percent/transitiontransitionage1/agesex1/sexfrom3/fromto3/topercent100.0/percent/transitiontransitionage2/agesex0/sexfrom1/fromto1/topercent99.35205/percent/transitiontransitionage2/agesex0/sexfrom1/fromto2/topercent0.6479474/percent/transitiontransitionage2/agesex0/sexfrom1/fromto3/topercent0.0/percent/transitiontransitionage2/agesex0/sexfrom2/fromto1/topercent0.0/percent/transitiontransitionage2/agesex0/sexfrom2/fromto2/topercent97.101456/percent/transitiontransitionage2/agesex0/sexfrom2/fromto3/toperce!
 nt2.8985496/percent/transitiontransitionage2/agesex0/sex
from3/fromto1/topercent0.0/percent/transitiontransitionage2/agesex0/sexfrom3/fromto2/topercent0.0/percent/transitiontransitionage2/agesex0/sexfrom3/fromto3/topercent100.0/percent/transitiontransitionage2/agesex1/sexfrom1/fromto1/topercent97.82136/percent/transitiontransitionage2/agesex1/sexfrom1/fromto2/topercent2.1786473/percent/transitiontransitionage2/agesex1/sexfrom1/fromto3/topercent0.0/percent/transitiontransitionage2/agesex1/sexfrom2/fromto1/topercent0.0/percent/transitiontransitionage2/agesex1/sexfrom2/fromto2/topercent93.6/percent/transitiontransitionage2/agesex1/sexfrom2/fromto3/topercent6.408/percent/transitiontransitionage2/agesex1/sexfrom3/fromto1/topercent0.0/percent/transitiontransitionage2/agesex1/sexfrom3/from!
 
to2/topercent0.0/percent/transitiontransitionage2/agesex1/sexfrom3/fromto3/topercent100.0/percent/transition
/transitionmatrix

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Re: [R] XML: Reading transition matrices into R

2009-11-12 Thread Duncan Temple Lang 


stefan.d...@gmail.com wrote:
 Hello,
 from a software I have the following output in xml (see below):
 It is a series of matrices, for each age one. I have 3 categories
 (might vary in the application), hence, 3x3 matrices where each
 element gives the probability of transition from i to j. I would like
 read this data into R (preferably in a list, where each list element
 is one of the age specific matrices) and - after altering the values
 in R - write it back into the file.  I know that there is an xml
 package in R with which I have already struggled, but I have to admit
 my understanding is too limited. Maybe somebody had a similar problem
 or know the code of the top of his or her head.

Hi Stefan

  There are many approaches for handling this. I assume that the primary
obstacle you are facing is extracting the values from the XML.  The following
will do that for you.
We start with the content in transition.xml (or in a string in R).
Since the XML is very shallow, i.e. not very hierarchical, and all
the information is in the transition nodes under the root, we can
use xmlToList().
This returns a list with an element for each transition
element, and such elements are character vectors containing the
values from age, sex, from, to, and percent.
So I've put these into a matrix and you are now back entirely
within R and can group the values by age and arrange them into
the individual transition matrices.


   doc = xmlParse(transition.xml)
   matrix(as.numeric(unlist(xmlToList(doc))), , 5, byrow = TRUE,
  dimnames = list(NULL, names(xmlRoot(doc)[[1]])))


 D.



 
 Any help appreciated.
 
 Thanks and best,
 Stefan
 
 
 
 
 
 ?xml version=1.0 encoding=UTF-8 standalone=no?transitionmatrix
 transitionage0/agesex0/sexfrom1/fromto1/topercent99.9/percent/transitiontransitionage0/agesex0/sexfrom1/fromto2/topercent0.0/percent/transitiontransitionage0/agesex0/sexfrom1/fromto3/topercent0.0/percent/transitiontransitionage0/agesex0/sexfrom2/fromto1/topercent0.0/percent/transitiontransitionage0/agesex0/sexfrom2/fromto2/topercent99.85/percent/transitiontransitionage0/agesex0/sexfrom2/fromto3/topercent0.0/percent/transitiontransitionage0/agesex0/sexfrom3/fromto1/topercent0.0/percent/transitiontransitionage0/agesex0/sexfrom3/fromto2/topercent0.0/percent/transitiontransitionage0/agesex0/sexfrom3/fromto3/topercent99.85/percent/transitiontransitionage0/agesex1/sexfrom1/fromto1/topercent100.0/percent/transitiontransitionage0
/!
  
 agesex1/sexfrom1/fromto2/topercent0.0/percent/transitiontransitionage0/agesex1/sexfrom1/fromto3/topercent0.0/percent/transitiontransitionage0/agesex1/sexfrom2/fromto1/topercent0.0/percent/transitiontransitionage0/agesex1/sexfrom2/fromto2/topercent100.0/percent/transitiontransitionage0/agesex1/sexfrom2/fromto3/topercent0.0/percent/transitiontransitionage0/agesex1/sexfrom3/fromto1/topercent0.0/percent/transitiontransitionage0/agesex1/sexfrom3/fromto2/topercent0.0/percent/transitiontransitionage0/agesex1/sexfrom3/fromto3/topercent100.0/percent/transitiontransitionage1/agesex0/sexfrom1/fromto1/topercent99.9/percent/transitiontransitionage1/agesex0/sexfrom1/fromto2/topercent0.0/percent/transitiontransitionage1/agesex0/sexfrom1/fro
m!
  to3/topercent0.0/percent/transitiontransitionage1/age
 sex0/sexfrom2/fromto1/topercent0.0/percent/transitiontransitionage1/agesex0/sexfrom2/fromto2/topercent99.85/percent/transitiontransitionage1/agesex0/sexfrom2/fromto3/topercent0.0/percent/transitiontransitionage1/agesex0/sexfrom3/fromto1/topercent0.0/percent/transitiontransitionage1/agesex0/sexfrom3/fromto2/topercent0.0/percent/transitiontransitionage1/agesex0/sexfrom3/fromto3/topercent99.85/percent/transitiontransitionage1/agesex1/sexfrom1/fromto1/topercent100.0/percent/transitiontransitionage1/agesex1/sexfrom1/fromto2/topercent0.0/percent/transitiontransitionage1/agesex1/sexfrom1/fromto3/topercent0.0/percent/transitiontransitionage1/agesex1/sexfrom2/fromto1/topercent0.0/percent/transitiontransitionage1/agesex1/sexfrom2/fro
m!
  
 to2/topercent100.0/percent/transitiontransitionage1/agesex1/sexfrom2/fromto3/topercent0.0/percent/transitiontransitionage1/agesex1/sexfrom3/fromto1/topercent0.0/percent/transitiontransitionage1/agesex1/sexfrom3/fromto2/topercent0.0/percent/transitiontransitionage1/agesex1/sexfrom3/fromto3/topercent100.0/percent/transitiontransitionage2/agesex0/sexfrom1/fromto1/topercent99.35205/percent/transitiontransitionage2/agesex0/sexfrom1/fromto2/topercent0.6479474/percent/transitiontransitionage2/agesex0/sexfrom1/fromto3/topercent0.0/percent/transitiontransitionage2/agesex0/sexfrom2/fromto1/topercent0.0/percent/transitiontransitionage2/agesex0/sexfrom2/fromto2/topercent97.101456/percent/transitiontransitionage2/agesex0/sexfrom2/fromto3/toperc
e!
  nt2.8985496/percent/transitiontransitionage2/agesex0/sex

Re: [R] XML: Reading transition matrices into R

2009-11-12 Thread stefan.d...@gmail.com 
Hello,
thanks a lot. This is a form which I can work with in R.

Another question, which I hope is not a bridge too far: Can I write
the R matrix which your code created back into the xml format (i.e.
with the same tags and structure) from which it came and hence feed it
back to the original software?

Best,
Stefan


On Thu, Nov 12, 2009 at 3:17 PM, Duncan Temple Lang
dun...@wald.ucdavis.edu wrote:


 stefan.d...@gmail.com wrote:
 Hello,
 from a software I have the following output in xml (see below):
 It is a series of matrices, for each age one. I have 3 categories
 (might vary in the application), hence, 3x3 matrices where each
 element gives the probability of transition from i to j. I would like
 read this data into R (preferably in a list, where each list element
 is one of the age specific matrices) and - after altering the values
 in R - write it back into the file.  I know that there is an xml
 package in R with which I have already struggled, but I have to admit
 my understanding is too limited. Maybe somebody had a similar problem
 or know the code of the top of his or her head.

 Hi Stefan

  There are many approaches for handling this. I assume that the primary
 obstacle you are facing is extracting the values from the XML.  The following
 will do that for you.
 We start with the content in transition.xml (or in a string in R).
 Since the XML is very shallow, i.e. not very hierarchical, and all
 the information is in the transition nodes under the root, we can
 use xmlToList().
 This returns a list with an element for each transition
 element, and such elements are character vectors containing the
 values from age, sex, from, to, and percent.
 So I've put these into a matrix and you are now back entirely
 within R and can group the values by age and arrange them into
 the individual transition matrices.


   doc = xmlParse(transition.xml)
   matrix(as.numeric(unlist(xmlToList(doc))), , 5, byrow = TRUE,
          dimnames = list(NULL, names(xmlRoot(doc)[[1]])))


  D.




 Any help appreciated.

 Thanks and best,
 Stefan





 ?xml version=1.0 encoding=UTF-8 standalone=no?transitionmatrix
 transitionage0/agesex0/sexfrom1/fromto1/topercent99.9/percent/transitiontransitionage0/agesex0/sexfrom1/fromto2/topercent0.0/percent/transitiontransitionage0/agesex0/sexfrom1/fromto3/topercent0.0/percent/transitiontransitionage0/agesex0/sexfrom2/fromto1/topercent0.0/percent/transitiontransitionage0/agesex0/sexfrom2/fromto2/topercent99.85/percent/transitiontransitionage0/agesex0/sexfrom2/fromto3/topercent0.0/percent/transitiontransitionage0/agesex0/sexfrom3/fromto1/topercent0.0/percent/transitiontransitionage0/agesex0/sexfrom3/fromto2/topercent0.0/percent/transitiontransitionage0/agesex0/sexfrom3/fromto3/topercent99.85/percent/transitiontransitionage0/agesex1/sexfrom1/fromto1/topercent100.0/percent/transitiontransitionage0
 /!
  agesex1/sexfrom1/fromto2/topercent0.0/percent/transitiontransitionage0/agesex1/sexfrom1/fromto3/topercent0.0/percent/transitiontransitionage0/agesex1/sexfrom2/fromto1/topercent0.0/percent/transitiontransitionage0/agesex1/sexfrom2/fromto2/topercent100.0/percent/transitiontransitionage0/agesex1/sexfrom2/fromto3/topercent0.0/percent/transitiontransitionage0/agesex1/sexfrom3/fromto1/topercent0.0/percent/transitiontransitionage0/agesex1/sexfrom3/fromto2/topercent0.0/percent/transitiontransitionage0/agesex1/sexfrom3/fromto3/topercent100.0/percent/transitiontransitionage1/agesex0/sexfrom1/fromto1/topercent99.9/percent/transitiontransitionage1/agesex0/sexfrom1/fromto2/topercent0.0/percent/transitiontransitionage1/agesex0/sexfrom1/fro
 m!
  to3/topercent0.0/percent/transitiontransitionage1/age
 sex0/sexfrom2/fromto1/topercent0.0/percent/transitiontransitionage1/agesex0/sexfrom2/fromto2/topercent99.85/percent/transitiontransitionage1/agesex0/sexfrom2/fromto3/topercent0.0/percent/transitiontransitionage1/agesex0/sexfrom3/fromto1/topercent0.0/percent/transitiontransitionage1/agesex0/sexfrom3/fromto2/topercent0.0/percent/transitiontransitionage1/agesex0/sexfrom3/fromto3/topercent99.85/percent/transitiontransitionage1/agesex1/sexfrom1/fromto1/topercent100.0/percent/transitiontransitionage1/agesex1/sexfrom1/fromto2/topercent0.0/percent/transitiontransitionage1/agesex1/sexfrom1/fromto3/topercent0.0/percent/transitiontransitionage1/agesex1/sexfrom2/fromto1/topercent0.0/percent/transitiontransitionage1/agesex1/sexfrom2/fro
 m!
  

Re: [R] XML: Reading transition matrices into R

2009-11-12 Thread Duncan Temple Lang 


stefan.d...@gmail.com wrote:
 Hello,
 thanks a lot. This is a form which I can work with in R.
 
 Another question, which I hope is not a bridge too far: Can I write
 the R matrix which your code created back into the xml format (i.e.
 with the same tags and structure) from which it came and hence feed it
 back to the original software?


trans = apply(xx, 1, function(x) {
   tr = newXMLNode(transition)
   mapply(newXMLNode, names(x), x, MoreArgs = list(parent = 
tr))
   tr
 })
top = newXMLNode(transitionmatrix, .children = trans)
saveXML(top, newTransition.xml)




 
 Best,
 Stefan
 
 
 On Thu, Nov 12, 2009 at 3:17 PM, Duncan Temple Lang
 dun...@wald.ucdavis.edu wrote:

 stefan.d...@gmail.com wrote:
 Hello,
 from a software I have the following output in xml (see below):
 It is a series of matrices, for each age one. I have 3 categories
 (might vary in the application), hence, 3x3 matrices where each
 element gives the probability of transition from i to j. I would like
 read this data into R (preferably in a list, where each list element
 is one of the age specific matrices) and - after altering the values
 in R - write it back into the file.  I know that there is an xml
 package in R with which I have already struggled, but I have to admit
 my understanding is too limited. Maybe somebody had a similar problem
 or know the code of the top of his or her head.
 Hi Stefan

  There are many approaches for handling this. I assume that the primary
 obstacle you are facing is extracting the values from the XML.  The following
 will do that for you.
 We start with the content in transition.xml (or in a string in R).
 Since the XML is very shallow, i.e. not very hierarchical, and all
 the information is in the transition nodes under the root, we can
 use xmlToList().
 This returns a list with an element for each transition
 element, and such elements are character vectors containing the
 values from age, sex, from, to, and percent.
 So I've put these into a matrix and you are now back entirely
 within R and can group the values by age and arrange them into
 the individual transition matrices.


   doc = xmlParse(transition.xml)
   matrix(as.numeric(unlist(xmlToList(doc))), , 5, byrow = TRUE,
  dimnames = list(NULL, names(xmlRoot(doc)[[1]])))


  D.



 Any help appreciated.

 Thanks and best,
 Stefan





 ?xml version=1.0 encoding=UTF-8 standalone=no?transitionmatrix
 transitionage0/agesex0/sexfrom1/fromto1/topercent99.9/percent/transitiontransitionage0/agesex0/sexfrom1/fromto2/topercent0.0/percent/transitiontransitionage0/agesex0/sexfrom1/fromto3/topercent0.0/percent/transitiontransitionage0/agesex0/sexfrom2/fromto1/topercent0.0/percent/transitiontransitionage0/agesex0/sexfrom2/fromto2/topercent99.85/percent/transitiontransitionage0/agesex0/sexfrom2/fromto3/topercent0.0/percent/transitiontransitionage0/agesex0/sexfrom3/fromto1/topercent0.0/percent/transitiontransitionage0/agesex0/sexfrom3/fromto2/topercent0.0/percent/transitiontransitionage0/agesex0/sexfrom3/fromto3/topercent99.85/percent/transitiontransitionage0/agesex1/sexfrom1/fromto1/topercent100.0/percent/transitiontransitionage
0
 /!
  
 agesex1/sexfrom1/fromto2/topercent0.0/percent/transitiontransitionage0/agesex1/sexfrom1/fromto3/topercent0.0/percent/transitiontransitionage0/agesex1/sexfrom2/fromto1/topercent0.0/percent/transitiontransitionage0/agesex1/sexfrom2/fromto2/topercent100.0/percent/transitiontransitionage0/agesex1/sexfrom2/fromto3/topercent0.0/percent/transitiontransitionage0/agesex1/sexfrom3/fromto1/topercent0.0/percent/transitiontransitionage0/agesex1/sexfrom3/fromto2/topercent0.0/percent/transitiontransitionage0/agesex1/sexfrom3/fromto3/topercent100.0/percent/transitiontransitionage1/agesex0/sexfrom1/fromto1/topercent99.9/percent/transitiontransitionage1/agesex0/sexfrom1/fromto2/topercent0.0/percent/transitiontransitionage1/agesex0/sexfrom1/f
ro
 m!
  to3/topercent0.0/percent/transitiontransitionage1/age
 sex0/sexfrom2/fromto1/topercent0.0/percent/transitiontransitionage1/agesex0/sexfrom2/fromto2/topercent99.85/percent/transitiontransitionage1/agesex0/sexfrom2/fromto3/topercent0.0/percent/transitiontransitionage1/agesex0/sexfrom3/fromto1/topercent0.0/percent/transitiontransitionage1/agesex0/sexfrom3/fromto2/topercent0.0/percent/transitiontransitionage1/agesex0/sexfrom3/fromto3/topercent99.85/percent/transitiontransitionage1/agesex1/sexfrom1/fromto1/topercent100.0/percent/transitiontransitionage1/agesex1/sexfrom1/fromto2/topercent0.0/percent/transitiontransitionage1/agesex1/sexfrom1/fromto3/topercent0.0/percent/transitiontransitionage1/agesex1/sexfrom2/fromto1/topercent0.0/percent/transitiontransitionage1/agesex1/sexfrom2/f
ro
 m!