Hi, I'm trying to use sapply to compute the min of several variables, each
of them stored in data.frames, grouped as a list:
Is it normal that mean() and min() produce different objects dimensions?
> str(dats)
List of 5
$ log20:'data.frame': 83 obs. of 5 variables:
..$ DATE : int [1:83] 2001081500 2001081512 2001081600 2001081612
2001081700 2001081712 2001081800 2001081812 2001081900 2001081912 ...
..$ logrho: num [1:83] 1.16 -1.30 -1.30 -1.30 -1.30 ...
..$ w2 : num [1:83] 1.01 1.27 1.24 1.31 1.28 ...
..$ rms : num [1:83] 5.001 0.630 0.616 0.685 0.655 ...
..$ maxi : num [1:83] 8.66 3.39 3.83 3.35 3.23 ...
$ log30:'data.frame': 71 obs. of 5 variables:
..$ DATE : int [1:71] 2001081500 2001081512 2001081600 2001081612
2001081700 2001081712 2001081800 2001081812 2001081900 2001081912 ...
..$ logrho: num [1:71] 1.16 -1.00 -1.00 -1.00 -1.00 ...
..$ w2 : num [1:71] 1.01 1.27 1.21 1.29 1.27 ...
..$ rms : num [1:71] 5.001 0.851 0.802 0.877 0.864 ...
..$ maxi : num [1:71] 8.66 4.57 4.62 4.27 4.47 ...
$ log40:'data.frame': 14 obs. of 5 variables:
..$ DATE : int [1:14] 2001081500 2001081512 2001081600 2001081612
2001081700 2001081712 2001081800 2001081812 2001081900 2001081912 ...
..$ logrho: num [1:14] 1.16 -0.50 -0.50 -0.50 -0.50 ...
..$ w2 : num [1:14] 1.01 1.27 1.18 1.23 1.17 ...
..$ rms : num [1:14] 5.00 1.40 1.26 1.36 1.25 ...
..$ maxi : num [1:14] 8.66 7.54 6.39 6.68 5.83 ...
$ log50:'data.frame': 69 obs. of 5 variables:
..$ DATE : int [1:69] 2001081500 2001081512 2001081600 2001081612
2001081700 2001081712 2001081800 2001081812 2001081900 2001081912 ...
..$ logrho: num [1:69] 1.16 -1.50 -1.50 -1.50 -1.50 ...
..$ w2 : num [1:69] 1.01 1.27 1.25 1.33 1.31 ...
..$ rms : num [1:69] 5.001 0.516 0.516 0.577 0.554 ...
..$ maxi : num [1:69] 8.66 2.77 3.44 2.92 3.25 ...
$ log60:'data.frame': 66 obs. of 5 variables:
..$ DATE : int [1:66] 2001081500 2001081512 2001081600 2001081612
2001081700 2001081712 2001081800 2001081812 2001081900 2001081912 ...
..$ logrho: num [1:66] 1.16 -2.00 -2.00 -2.00 -2.00 ...
..$ w2 : num [1:66] 1.01 1.27 1.27 1.34 1.34 ...
..$ rms : num [1:66] 5.001 0.313 0.326 0.371 0.366 ...
..$ maxi : num [1:66] 8.66 1.68 2.43 2.23 3.85 ...
> sapply(dats,mean)
log20 log30 log40 log50 log60
DATE 2.001088e+09 2.001087e+09 2.001082e+09 2.001087e+09 2.001086e+09
logrho -1.270326e+00 -9.695748e-01 -3.816967e-01 -1.461383e+00 -1.951941e+00
w2 1.324907e+00 1.283293e+00 1.217808e+00 1.345297e+00 1.398435e+00
rms 7.752963e-01 9.623266e-01 1.636949e+00 6.788993e-01 4.810029e-01
maxi 4.016900e+00 4.466865e+00 6.205573e+00 3.672405e+00 2.898055e+00
> sapply(dats,min)
log20 log30 log40 log50 log60
-1.3000708 -1.0000960 -0.5000176 -1.5001134 -2.0001350
Thanks for your help,
VÃctor.
--
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VÃctor Homar Santaner
Grup de Meteorologia
Edif. Mateu Orfila Tel: +34 971 17 1376
Universitat de les Illes Balears Fax: +34 971 17 3426
07122 Palma de Mallorca (SPAIN) Email: [EMAIL PROTECTED]
Knowledge is contagious. Infect truth.
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References
1. mailto:[EMAIL PROTECTED]
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