If I follow what you are trying to do, you want the mean of z for each value of
y.
tapply(df$z, df$y, mean)
> On Nov 17, 2021, at 8:20 AM, Luigi Marongiu <marongiu.lu...@gmail.com> wrote:
>
> Hello,
> I have a dataframe with 3 variables. I want to loop through it to get
> the mean value of the variable `z`, as follows:
> ```
> df = data.frame(x = c(rep(1,5), rep(2,5), rep(3,5)),
> y = rep(letters[1:5],3),
> z = rnorm(15),
> stringsAsFactors = FALSE)
> m = vector()
> for (i in unique(df$y)) {
> s = df[df$y == i,]
> m = append(m, mean(s$z))
> }
> names(m) = unique(df$y)
>> (m)
> a b c d e
> -0.6355382 -0.4218053 -0.7256680 -0.8320783 -0.2587004
> ```
> The problem is that I have one million `y` values, so the work takes
> almost a day. I understand that vectorization will speed up the
> procedure. But how shall I write the procedure in vectorial terms?
> Thank you
>
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--
Kevin E. Thorpe
Head of Biostatistics, Applied Health Research Centre (AHRC)
Li Ka Shing Knowledge Institute of St. Michael’s Hospital
Assistant Professor, Dalla Lana School of Public Health
University of Toronto
email: kevin.tho...@utoronto.ca Tel: 416.864.5776 Fax: 416.864.3016
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