| To: | "Douglas Bates" <bates@stat.wisc.edu> |
|---|---|
| Subject: | Re: proportion of states life expectancy > 70 |
| From: | Tim Hesterberg <timh@insightful.com> |
| Date: | Thu, 06 Dec 2007 11:40:56 -0800 |
| Cc: | "bhavin toprani" <b_toprani@hotmail.com>, "s-news@lists.biostat.wustl.edu" <s-news@lists.biostat.wustl.edu> |
| In-reply-to: | <40e66e0b0712061052o4e33c1a0x42848de7f53854fd@mail.gmail.com> (bates@stat.wisc.edu) |
| References: | <BAY114-W117569695E180FAC4F7DB98D770@phx.gbl> <40e66e0b0712061052o4e33c1a0x42848de7f53854fd@mail.gmail.com> |
A minor improvement on Bates' answer is to use mean() instead of sum() mean(mydf$Life.Exp > 70) mean(mydf$Life.Exp > 70, na.rm = TRUE) >On Nov 27, 2007 10:38 PM, bhavin toprani <b_toprani@hotmail.com> wrote: > >> Dear all, > >> Could you please suggest an easy command eg, if, for ,etc to find the >> proportion of states having life expectancy greater than 70? > >> Thanks for your help in advance. > >> example of dataframe >> Life.Exp >> Alabama 69.05 >> Alaska 69.31 >> Arizona 70.55 >> Arkansas 70.66 >> California 71.71 >> Colorado 72.06 > >I haven't seen a response to this. The general way to approach this >is to sum the logical indicators. When the TRUE/FALSE values are used >in an arithmetic expression they are converted to 1/0 values. >Suppose that your data frame is called mydf. Then the expression > >sum(mydf$Life.Exp > 70)/nrow(mydf$Life.Exp) > >should do it. If you want to be careful about the possibility of >missing data you should use > >sum(mydf$Life.Exp > 70, na.rm = TRUE)/sum(!is.na(mydf$Life.Exp)) > >instead. |
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