Dear Rui,
i am greatful for everything you did. bret advised me to use dput(), which i 
did. yes! i forgot to complement him. i literally feel sorry for that. i hope 
you wont mind and continue extending your help.
regards and love for every one
eliza botto
waters inn

> Date: Tue, 5 Jun 2012 12:46:25 +0100
> From: ruipbarra...@sapo.pt
> To: eliza_bo...@hotmail.com
> CC: r-help@r-project.org
> Subject: Re: approximating matrix columns
> 
> Hello,
> 
> Try
> 
> apply(mat, 2, approx, method=”linear”, n=365)
> 
> This reads "apply to each column (dimension = 2) of mat the function 
> approx with extra args method and n".
> 
> Three notes.
> 1. Your data does NOT have three list, it IS one list with three vectors.
> 2. 'matrix' is a function so choose something else as a name. Above I've 
> chosen 'mat'.
> 3. Bert is obviously right. You are wrong in not following simple 
> posting instructions. And in not even bothering to quote his post.
> 
> Rui Barradas
> 
> Em 05-06-2012 09:27, eliza botto escreveu:
> >
> >
> > Dear Gunter Berton and all,
> > As
> > you can see, my data has three lists each containing 366 entries. I 
> > converted
> > them into the matrix. I now want to approx./interpolate 366 entries over 365
> > intervals, Which means I want to have a matrix with 365 entries.
> >
> > I
> > used
> >
> >
> >
> > approx(matrix, method=”linear”,
> > n=365)
> >
> >
> >
> > but
> > it only converted the first column of my data, and left the rest untouched.
> >
> >
> >
> >
> >
> > list(c(0.86, 0.86, 0.86, 0.86, 0.86,
> > 1.08, 1.08, 1.08, 1.08,
> >
> >       1.08, 1.08, 1.4, 1.4, 23, 11.18, 38.83, 23,
> > 3.45, 3.45, 3.45,
> >
> >       3.45, 3.45, 3.45, 3.45, 3.45, 3.02, 2.58,
> > 2.58, 2.15, 2.15, 2.15,
> >
> >       2.15, 2.15, 2.15, 2.15, 2.15, 3.02, 1.72,
> > 1.72, 1.72, 1.72, 1.72,
> >
> >       1.72, 1.72, 1.72, 1.6, 1.6, 1.6, 1.6, 1.6,
> > 1.6, 1.6, 1.6, 1.6,
> >
> >       1.6, 1.6, 1.6, 1.6, 1.6, 1.6, 1.6, 1.6, 1.6,
> > 1.6, 1.6, 1.6, 1.6,
> >
> >       1.6, 1.6, 1.6, 2.4, 2.4, 2.4, 2.4, 2.4, 2.4,
> > 2.4, 2.8, 2.8, 2.8,
> >
> >       4.1, 4.1, 13.55, 9.34, 8.32, 7.31, 4.5, 4.1,
> > 14.63, 24.88, 39.99,
> >
> >       23.69, 14.63, 7.31, 4.5, 7.31, 16.82, 21.35,
> > 24.88, 20.2, 24.88,
> >
> >       26.07, 30.98, 49.58, 51.01, 26.07, 24.88,
> > 30.98, 34.77, 58.26,
> >
> >       30.98, 23.69, 26.07, 19.06, 16.82, 20.2,
> > 16.82, 23.69, 14.63,
> >
> >       16.82, 11.42, 11.42, 11.42, 11.42, 10.38,
> > 10.38, 8.32, 7.31,
> >
> >       6.31, 16.82, 6.31, 6.31, 6.31, 4.9, 4.9, 4.5,
> > 4.5, 4.5, 4.5,
> >
> >       4.5, 4.1, 4.1, 2.8, 2.4, 2.4, 26.07, 45.4,
> > 16.82, 7.31, 4.5,
> >
> >       3.2, 3.2, 2.8, 2.8, 2.4, 2.4, 2.8, 3.2, 3.2,
> > 4.9, 4.9, 36.05,
> >
> >       65.8, 76.86, 53.87, 26.07, 20.2, 21.36, 14.63,
> > 10.38, 10.38,
> >
> >       7.31, 7.31, 51.01, 16.82, 14.63, 12.48, 14.63,
> > 10.38, 11.42,
> >
> >       52.44, 64.27, 36.05, 26.07, 21.36, 21.36,
> > 23.69, 47.79, 52.44,
> >
> >       167.9, 97.12, 76.86, 144.71, 90.18, 34.77,
> > 30.98, 28.5, 26.07,
> >
> >       26.07, 14.63, 14.63, 6.31, 6.31, 6.31, 4.5,
> > 4.1, 3.2, 6.31, 6.31,
> >
> >       16.82, 4.5, 3.2, 3.2, 3.2, 3.2, 4.5, 8.32,
> > 10.38, 10.38, 8.32,
> >
> >       11.42, 10.38, 7.31, 6.31, 6.31, 6.31, 6.31,
> > 6.31, 6.31, 6.31,
> >
> >       8.32, 6.31, 6.31, 20.2, 14.63, 7.31, 4.9,
> > 34.77, 26.07, 14.63,
> >
> >       10.38, 6.31, 4.9, 7.31, 4.9, 4.5, 4.5, 4.5,
> > 21.36, 12.48, 7.31,
> >
> >       4.5, 4.5, 6.31, 4.9, 4.9, 6.31, 8.32, 7.31,
> > 6.31, 6.31, 14.63,
> >
> >       11.42, 6.31, 6.31, 4.9, 6.31, 14.63, 7.31,
> > 12.48, 6.31, 6.31,
> >
> >       24.88, 15.72, 33.49, 111.57, 44.03, 39.99,
> > 44.03, 24.88, 12.48,
> >
> >       39.99, 11.42, 7.31, 4.9, 4.5, 4.1, 4.5, 4.1,
> > 4.1, 3.2, 3.2, 3.2,
> >
> >       3.2, 3.2, 2.8, 2.8, 3.2, 3.2, 3.2, 3.2, 3.2,
> > 3.2, 3.2, 2.8, 2.8,
> >
> >       3.2, 2.8, 2.8, 2.8, 2.8, 2.8, 2.8, 2.8, 2.8,
> > 2.8, 2.8, 2.8, 2.8,
> >
> >       4.1, 4.1, 2.4, 3.2, 10.38, 8.32, 4.5, 3.2,
> > 3.2, 2.8, 3.2, 3.2,
> >
> >       3.2, 2.4, 2.4, 2.4, 15.72, 23.69, 12.48,
> > 14.63, 4.5, 4.1, 4.5,
> >
> >       4.1, 4.1, 4.1, 3.2, 2.8, 2.8, 3.2, 2.8, 2.4,
> > 4.5, 4.5, 12.48,
> >
> >       68.9, 30.98, 39.99, 29.73, 95.37, 44.03,
> > 26.07, 41.33, 49.58,
> >
> >       23.69, 28.5), c(16.82, 14.63, 6.31, 6.31, 4.5, 4.5, 4.1, 4.1,
> >
> >       4.1, 3.2, 3.2, 4.1, 3.2, 3.2, 4.1, 4.5, 4.1,
> > 4.1, 167.9, 75.24,
> >
> >       44.03, 23.69, 19.06, 15.72, 11.42, 8.32, 6.31,
> > 4.9, 6.31, 4.9,
> >
> >       4.9, 4.1, 4.1, 3.2, 4.1, 4.1, 4.1, 90.18,
> > 102.45, 39.99, 29.73,
> >
> >       8.32, 21.36, 21.36, 21.36, 12.48, 11.42,
> > 12.48, 11.42, 12.48,
> >
> >       14.63, 14.63, 15.72, 23.69, 28.5, 29.73,
> > 33.49, 29.73, 23.69,
> >
> >       21.36, 6.31, 16.82, 15.72, 15.72, 15.72,
> > 15.72, 16.82, 20.2,
> >
> >       20.2, 21.36, 21.36, 26.07, 28.5, 29.73, 33.49,
> > 29.73, 33.49,
> >
> >       34.77, 26.07, 26.07, 23.69, 23.69, 26.07,
> > 21.36, 23.69, 23.69,
> >
> >       23.69, 24.88, 21.36, 20.2, 16.82, 19.06, 20.2,
> > 21.36, 20.2, 20.2,
> >
> >       24.88, 23.69, 26.07, 29.73, 23.69, 24.88,
> > 29.73, 36.05, 33.49,
> >
> >       34.77, 28.5, 28.5, 26.07, 153, 70.47, 58.26,
> > 81.77, 36.05, 39.99,
> >
> >       30.98, 33.49, 28.5, 28.5, 33.49, 29.73, 28.5,
> > 24.88, 30.98, 38.67,
> >
> >       30.98, 50.01, 65.8, 51.01, 38.67, 34.77,
> > 29.73, 29.73, 33.49,
> >
> >       30.98, 30.98, 30.98, 33.49, 34.77, 33.49,
> > 30.98, 88.48, 14.63,
> >
> >       8.32, 19.06, 14.63, 104.25, 44.03, 33.49,
> > 21.36, 20.2, 15.72,
> >
> >       15.72, 11.42, 7.31, 6.31, 4.9, 4.5, 4.5, 4.5,
> > 3.2, 8.32, 8.32,
> >
> >       14.63, 97.12, 310.8, 88.48, 36.05, 24.88,
> > 19.06, 14.63, 12.48,
> >
> >       8.32, 23.69, 11.42, 19.06, 90.18, 90.18,
> > 33.49, 16.82, 70.47,
> >
> >       38.67, 29.73, 34.77, 33.49, 68.9, 102.45,
> > 176.7, 78.48, 45.4,
> >
> >       106.06, 83.43, 45.4, 68.9, 39.99, 28.5, 23.69,
> > 20.2, 36.05, 38.67,
> >
> >       30.98, 26.07, 20.2, 47.79, 52.44, 28.5, 23.69,
> > 20.2, 14.63, 14.63,
> >
> >       14.63, 12.48, 21.36, 24.88, 47.79, 38.67,
> > 34.77, 21.36, 16.82,
> >
> >       8.32, 153, 47.79, 53.87, 29.73, 23.69, 15.72,
> > 19.06, 97.12, 33.49,
> >
> >       15.72, 10.38, 6.31, 4.5, 11.42, 6.31, 6.31,
> > 6.31, 4.5, 19.06,
> >
> >       14.63, 4.9, 4.9, 28.5, 70.47, 15.72, 4.9, 4.1,
> > 41.33, 241, 85.1,
> >
> >       38.67, 28.5, 20.2, 15.72, 12.48, 12.48, 20.2,
> > 14.63, 12.48, 10.38,
> >
> >       7.31, 7.31, 15.72, 33.49, 20.2, 15.72, 12.48,
> > 8.32, 7.31, 6.31,
> >
> >       4.9, 4.5, 4.1, 4.9, 4.5, 4.9, 20.2, 11.42,
> > 6.31, 4.9, 4.9, 4.9,
> >
> >       4.5, 4.5, 4.5, 4.1, 4.1, 4.1, 4.1, 4.1, 4.1,
> > 4.1, 4.1, 4.1, 6.31,
> >
> >       6.31, 4.5, 4.9, 4.9, 4.5, 4.5, 4.5, 4.9, 4.5,
> > 15.72, 24.88, 4.1,
> >
> >       58.26, 23.69, 26.07, 28.5, 174.5, 58.26,
> > 49.58, 23.69, 23.69,
> >
> >       23.69, 28.5, 26.07, 15.72, 20.2, 26.07, 23.69,
> > 19.06, 21.36,
> >
> >       15.72, 4.1, 4.1, 6.31, 15.72, 24.88, 39.99,
> > 45.4, 23.69, 33.49,
> >
> >       33.49, 33.49, 23.69, 23.69, 20.2, 24.88,
> > 19.06, 23.69, 20.2,
> >
> >       8.32, 6.31, 6.31, 4.1, 4.1, 14.63, 106.06,
> > 51.01, 26.07, 23.69,
> >
> >       20.2, 15.72, 15.72, 12.48, 19.06, 16.82,
> > 14.63, 12.48, 12.48,
> >
> >       11.42, 11.42, 12.2), c(8.32, 8.32, 8.32, 8.32, 8.32, 8.32, 8.32, 8.32,
> >
> >       8.32, 8.32, 8.32, 8.32, 8.32, 7.31, 8.32,
> > 8.32, 8.32, 8.32, 6.31,
> >
> >       6.31, 6.31, 6.31, 6.31, 6.31, 6.31, 6.31,
> > 6.31, 6.31, 6.31, 6.31,
> >
> >       6.31, 6.31, 6.31, 4.5, 4.5, 4.5, 4.5, 4.5,
> > 6.31, 6.31, 4.1, 4.1,
> >
> >       4.1, 4.5, 6.31, 6.31, 6.31, 6.31, 4.9, 10.38,
> > 12.48, 15.72, 8.32,
> >
> >       11.42, 78.48, 65.8, 85.1, 29.73, 26.07, 29.73,
> > 21.36, 26.07,
> >
> >       23.69, 28.5, 15.72, 12.48, 12.48, 14.63,
> > 12.48, 12.48, 8.32,
> >
> >       8.32, 11.42, 6.31, 6.31, 6.31, 4.9, 4.9, 6.31,
> > 10.38, 15.72,
> >
> >       16.82, 19.06, 34.77, 20.2, 20.2, 15.72, 14.63,
> > 33.49, 28.5, 28.5,
> >
> >       28.5, 64.27, 29.73, 20.2, 15.72, 11.42, 11.42,
> > 11.42, 7.31, 4.9,
> >
> >       6.31, 12.48, 10.38, 8.32, 7.31, 14.63, 15.72,
> > 16.82, 20.2, 19.06,
> >
> >       19.06, 28.5, 19.06, 15.72, 28.5, 29.73, 38.67,
> > 20.2, 30.98, 21.36,
> >
> >       14.63, 12.48, 10.38, 47.79, 23.69, 14.63,
> > 10.38, 8.32, 11.42,
> >
> >       11.42, 15.72, 12.48, 11.42, 14.63, 26.07,
> > 23.69, 36.05, 167.9,
> >
> >       44.03, 21.36, 15.72, 12.48, 8.32, 8.32, 8.32,
> > 21.36, 20.2, 15.72,
> >
> >       30.98, 21.36, 15.72, 53.87, 29.73, 21.36,
> > 12.48, 11.42, 10.38,
> >
> >       10.38, 6.31, 39.99, 19.06, 4.1, 2.8, 44.03,
> > 24.88, 11.42, 8.32,
> >
> >       6.31, 78.48, 38.67, 34.77, 19.06, 12.48,
> > 15.72, 15.72, 59.74,
> >
> >       34.77, 21.36, 14.63, 12.48, 11.42, 11.42,
> > 11.42, 10.38, 8.32,
> >
> >       6.31, 6.31, 4.9, 4.9, 4.9, 4.9, 4.1, 4.5,
> > 6.31, 4.1, 4.5, 4.5,
> >
> >       8.32, 6.31, 6.31, 6.31, 6.31, 6.31, 6.31,
> > 6.31, 6.31, 4.9, 4.5,
> >
> >       4.5, 4.5, 4.5, 4.5, 4.5, 4.5, 4.5, 4.5, 4.5,
> > 4.1, 2.8, 2.8, 2.8,
> >
> >       2.8, 2.8, 2.8, 2.4, 2.8, 2.8, 2.8, 2.8, 2.4,
> > 2.8, 2.4, 1.3, 1.3,
> >
> >       1.3, 1.3, 29.73, 21.36, 4.1, 3.2, 2.8, 6.31,
> > 3.2, 3.2, 3.2, 3.2,
> >
> >       3.2, 3.2, 3.2, 3.2, 3.2, 3.2, 3.2, 3.2, 3.2,
> > 3.2, 3.2, 7.31,
> >
> >       8.32, 8.32, 4.1, 3.2, 4.9, 4.1, 23.69, 23.69,
> > 19.06, 11.42, 14.63,
> >
> >       7.31, 4.9, 14.63, 36.05, 28.5, 15.72, 10.38,
> > 12.48, 14.63, 20.2,
> >
> >       14.63, 15.72, 23.69, 10.38, 4.9, 4.1, 3.2,
> > 3.2, 3.2, 3.2, 3.2,
> >
> >       3.2, 3.2, 3.2, 3.2, 3.2, 4.9, 2.8, 2.8, 1.6,
> > 14.63, 7.31, 11.42,
> >
> >       7.31, 3.2, 3.2, 3.2, 3.2, 3.2, 23.69, 4.5,
> > 3.2, 3.2, 3.2, 4.5,
> >
> >       3.2, 3.2, 3.2, 3.2, 3.2, 1.3, 2.8, 4.5, 4.5,
> > 3.2, 3.2, 4.5, 4.5,
> >
> >       11.42, 4.5, 4.5, 4.5, 1.3, 1.3, 1.3, 3.2, 1.6,
> > 2.8, 2.8, 1.3,
> >
> >       2.8, 2.8, 2.8, 2.8, 4.1, 4.1, 4.1, 4.1, 4.1,
> > 7.31, 4.1, 2.8,
> >
> >       2.8, 3.2, 4.1, 4.9, 26.07, 24.88, 15.72, 20.2,
> > 21.36, 30.98,
> >
> >       21.36, 20.2, 19.06, 14.3)
> >
> >                                     
                                          
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