when I calculate the bootstrap standard errors the results are summarized in a matrix with columns equal to the parameters of the model. In my case I have a matrix like this: [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [1,] -2.285122 -2.285122 -2.285122 -2.285122 -2.285122 -2.285122 -2.285122 .... [2,] -2.320864 -2.320864 -2.320864 -2.320864 -2.320864 -2.320864 -2.320864.... [3,] -2.424021 -2.424021 -2.424021 -2.424021 -2.424021 -2.424021 -2.424021.... [4,] -2.424027 -2.424027 -2.424027 -2.424027 -2.424027 -2.424027 -2.424027.... [5,] -2.386161 -2.386161 -2.386161 -2.386161 -2.386161 -2.386161 -2.386161 [6,] -2.470702 -2.470702 -2.470702 -2.470702 -2.470702 -2.470702 -2.470702 [7,] -2.424967 -2.424967 -2.424967 -2.424967 -2.424967 -2.424967 -2.424967 [8,] -2.331261 -2.331261 -2.331261 -2.331261 -2.331261 -2.331261 -2.331261 [9,] -2.415814 -2.415814 -2.415814 -2.415814 -2.415814 -2.415814 -2.415814 [10,] -2.418828 -2.418828 -2.418828 -2.418828 -2.418828 -2.418828 -2.418828.... [11,] -2.328493 -2.328493 -2.328493 -2.328493 -2.328493 -2.328493 -2.328493 [12,] -2.369575 -2.369575 -2.369575 -2.369575 -2.369575 -2.369575 -2.369575 [13,] -2.386355 -2.386355 -2.386355 -2.386355 -2.386355 -2.386355 -2.386355 [14,] -2.417921 -2.417921 -2.417921 -2.417921 -2.417921 -2.417921 -2.417921 [15,] -2.296758 -2.296758 -2.296758 -2.296758 -2.296758 -2.296758 -2.296758 [16,] -2.490558 -2.490558 -2.490558 -2.490558 -2.490558 -2.490558 -2.490558 [17,] -2.483024 -2.483024 -2.483024 -2.483024 -2.483024 -2.483024 -2.483024.... [18,] -2.336290 -2.336290 -2.336290 -2.336290 -2.336290 -2.336290 -2.336290.... [19,] -2.357479 -2.357479 -2.357479 -2.357479 -2.357479 -2.357479 -2.357479.... [20,] -2.391479 -2.391479 -2.391479 -2.391479 -2.391479 -2.391479 -2.391479....
In the pdf file, where I've found the example, the matrix result has the same equal columns, where the columns are relate to the nine parameters. If I have to calculate the standard errors of each parameters, in the pdf there is this: At the end matrix results contains the bootstrap values of the parameters and thus bootstrap standard errors can be obtained merely by calculating the standard errors of the columns. How can I merely calculate thees standard errors? The pdf is in the following file: http://r.789695.n4.nabble.com/file/n3315394/example.pdf example.pdf Thank you very much.. Pippo -- View this message in context: http://r.789695.n4.nabble.com/Bootstraps-standard-error-tp3313322p3315394.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.