On Mar 26, 2010, at 12:37 PM, Oliver Kullmann wrote:
Hello,
let me show you the following part of a session:
table(E$singles)
0 1 2 3 4 5 6 7 8
14 15
461752 5487 93 224 379 658 1099 4053 2
1868 1
21 28 29 35 42 49 50 56 63
70 77
904 560 1 348 275 126 1 156 103
71 63
84 91 98 105 112 119 126 133 134
140 147
51 35 37 16 19 17 14 27 1
20 17
154 161 168 169 175 182 189 196 203
210 217
16 8 7 1 7 12 5 6 3
8 4
224 231 245 252 259 266 273 280 287
294 301
6 5 5 1 2 3 4 2 2
1 2
315 329 336 343 364 385 386 399 441
476 560
2 2 1 2 3 2 1 1 1
1 1
as.numeric(as.vector(as.data.frame(table(E$singles))$Var1)) %% 7
[1] 0 1 2 3 4 5 6 0 1 0 1 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0
0 0 0 0 1 0
[39] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0
As you can see, the values of column "singles" of dataframe E show
a strong regularity w.r.t. multiples of 7, and with the second line
I checked that.
Now I hope that there is a better way to get the vector of values out
of the table-result? First I convert it into a dataframe, to get a
name for the two vectors constituting the table, then a get a vector
of strings(!), which are then converted to integers.
In this case where the is only one dimension, the table object is more
like a named vector. The first "vector" in your terminology (but would
be more accurately called "labels") can be accessed with:
names( table(E$singles) )
If you want the counts without the lables , then just use the unname
function:
unname( table(E$singles) )
--
David.
By the way, the type of E$singles is integers.
Thanks for your help!
Oliver
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David Winsemius, MD
West Hartford, CT
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and provide commented, minimal, self-contained, reproducible code.
