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From |
"Martin Weiss" <[email protected]> |

To |
<[email protected]> |

Subject |
st: AW: RE: RE: AW: RE: display all categories on pie chart for categorical variables (with some zero values) |

Date |
Fri, 27 Nov 2009 14:47:02 +0100 |

<> " I don't quite understand the theory behind it, but it works like a treat." I am glad it works for you :-) Nick`s solution exploits -reshape- which is at the heart of most elegant solutions for data management in Stata, and the -by- mechanism. My solution temporarily created different datasets, drew the graph and so on. Later on, I -graph combine-d the graphs into one big picture. If you are happy with the result of Nick`s procedure, it is certainly the way to go and easier to reverse engineer in case you want to :-) HTH Martin -----Ursprüngliche Nachricht----- Von: [email protected] [mailto:[email protected]] Im Auftrag von Adam Collins Gesendet: Freitag, 27. November 2009 14:43 An: [email protected] Betreff: st: RE: RE: AW: RE: display all categories on pie chart for categorical variables (with some zero values) Apologies for the delay replying, something urgent came up yesterday. Thank you so much Martin and Nick!!! This is a fantastic solution! I don't quite understand the theory behind it, but it works like a treat. I notice that now, to display just one of my categorical variables on it's own (but with all the categories listed in the legend), it is as simple as: graph pie plotvar if _j==1, over(c) allcategories or graph pie plotvar if _j==2, over(c) allcategories Even more excitingly, I see that the same thing can now be applied to bar graphs, and that it solves the problem of displaying all the categories in the "correct" order on the bar graph - even if some of them containing zero occurrences: gen one=1 graph hbar (sum) one if _j==2, over(c) allcategories Many thanks! Adam -----Original Message----- From: [email protected] [mailto:[email protected]] On Behalf Of Nick Cox Sent: jeudi 26 novembre 2009 15:02 To: [email protected] Subject: st: RE: AW: RE: display all categories on pie chart for categorical variables (with some zero values) This is the code to get Martin's graphs from Martin's data, but using -reshape- instead. clear inp byte(a b) 2 3 4 5 7 2 3 6 9 10 end gen plotvar=abs(rnormal()) gen id = _n rename a c1 rename b c2 reshape long c, i(id) label define _j 1 "a" 2 "b" label val _j _j graph pie plotvar, over(c) by(_j) Nick [email protected] Martin Weiss This at least gives you all the categories: ************* clear* inp byte(a b) 2 3 4 5 7 2 3 6 9 10 end gen plotvar=abs(rnormal()) compress list, noo preserve tempfile mytemp //get unique values of a and b jointly stack a b, into(c) clear duplicates drop c, force drop _stack save `mytemp', replace restore //for a preserve keep a plotvar rename a c l merge 1:1 c using "`mytemp'" replace plotvar=0 if mi(plotvar) graph pie plotvar, over(c) missing /* */ name(mygra, replace) tit(for a) /* */ nodraw restore //for b preserve keep b plotvar rename b c l merge 1:1 c using "`mytemp'" replace plotvar=0 if mi(plotvar) graph pie plotvar, over(c) missing /* */ name(mygrb, replace) tit(for b) /* */ nodraw restore graph combine mygra mygrb ************* Adam Collins I expect there is something really simple that I am missing here... but I am new to Stata and it is doing my head in that I can't display all categories of a categorical variable on a pie chart... I am really getting no where with this problem. I would really appreciate some help. I tried exploring ways of storing the "counts" from my categorical variable values in another variable, such as a matrix which would allow me to store a "zero count" as a "0" value. In searching for a solution, I came accross -fulltab- (from SSC), however it doesn't seem to work (it just displays the following "program error: code follows on the same line as open brace"). Anyway, I am not even sure this is the best approach. Surely there is something more straight forward? -----Original Message----- From: [email protected] [mailto:[email protected]] On Behalf Of Adam Collins Sent: mercredi 25 novembre 2009 17:39 To: [email protected] Subject: st: display all categories on pie chart for categorical variables (with some zero values) Hello, I have several categorical variables that each possess the same list of categories (value labels). To enable easy comparison of the pie charts, I would like every category to exist on every chart (so that each category retains the same colour/settings/legend position etc on each chart). The problem is that some of the variables contain zero occurrences of certain values (categories) and the standard 'over(varname)' option with -graph pie- excludes categories with no occurrences. I have tried the 'allcategories' option, but since it applies to the 'over()' variable, it does not help. Does anyone have any ideas? (by the way, since this is for a specific set of categorical variables, it is fine if the categories are 'hard coded', then applied to each variable) * * 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/ * * 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/

**Follow-Ups**:

**References**:**st: display all categories on pie chart for categorical variables (with some zero values)***From:*Adam Collins <[email protected]>

**st: RE: display all categories on pie chart for categorical variables (with some zero values)***From:*Adam Collins <[email protected]>

**st: AW: RE: display all categories on pie chart for categorical variables (with some zero values)***From:*"Martin Weiss" <[email protected]>

**st: RE: AW: RE: display all categories on pie chart for categorical variables (with some zero values)***From:*"Nick Cox" <[email protected]>

**st: RE: RE: AW: RE: display all categories on pie chart for categorical variables (with some zero values)***From:*Adam Collins <[email protected]>

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