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I feel this is a very easy thing but I've never done it before and it is getting frustrating. I have a big data.frame (1445846 rows, 15 col) that looks like this: V1 V2 V3 V4 V5 1 home sister brother chair 0 2 cat dog animal 0 0 3 girl boy 0

hi! I apologize in advance if this is a newbie dumm question, but I really can't figure it ou. I have lists of sumeric and character data on some URLs, which look like this: <photo id="5876248819" owner="13716719 at N04" secret="faf9bb7f52" server="5264" farm="6" title="our rose garden" ispublic="1"

Hi everybody, I have a problem with a cluster analysis. I am trying to use hclust, method=ward. The Ward method works with SQUARED Euclidean distances. Hclust demands "a dissimilarity structure as produced by dist". Yet, dist does not seem to produce a table of squared euclidean distances, starting from cosines. In fact, computing manually the squared euclidean distances from cosines

Dear R-ers, still the newbie. With a question about coordinates of a vector appearing or not in a data.frame. I have a data.frame (MyData) with 3 columns which looks like this: V1 V4 redNew red-j 10.5032 appearance blood-n red-j 9.3749 appearance ground-n red-j 10.2167

Ok, before I definetly give up, and throw the laptop out of the window, or fill my data.frame manually, I'll ask for some help. I have a data.frame named MyTable with 3 columns, that looks like this: V1 V2 V3 red-j appearanceblood-n 105.032 red-j appearanceground-n 93.749 red-j appearancesea-n 102.167 red-j appearancesky-n 10.898

Yes, I am a newbie. I have a data.frame (MyTable) of 1445846 rows and 15 columns with character data. And a character vector (MyVector) of 473491 elements. I want simply to get a data.frame with the count of how many times each element of MyVector appears in MyTable. I've tried a loop with : for (i in 1 : length (myvector)) sum (MyTable== i) but it crashes my computer. I've also