x<-1:11
y<-2:3
is there a way to do something like
x[x==y]
(which actually produce error)?
I am really got stuck
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Sorry for stupid question but is there any way to just download file (excel
file) from the url to the disk with a certain name?
Now it seems that I should open it (via read.xls) and then write it by
write.xls. But I am pretty sure it should be something much easier?
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Hello!
Can anybody help to convert this table (in fact there are two adjacent
tables) into dataset?
http://www.khantu-mansy.vybory.izbirkom.ru/region/region/khantu-mansy?action=show&root=86214&tvd=2862000216095&vrn=100100028713299®ion=86&global=true&sub_region=86&prver=0&pronetvd=null&vibid=286
Hello everybody! I need help in collecting the information about Russian
elections.
There is a table at the web-site
http://www.moscow_city.vybory.izbirkom.ru/region/region/moscow_city?action=show&root=774003008&tvd=477400389537&vrn=100100028713299®ion=77&global=true&sub_region=77&prver=0&pronetvd
There is an url
"http://www.ozon.ru/context/detail/id/5254326/?type=6#buyalso";
If I try to get the data there (by "readLines" or whatever), R
downloads actually the content of this url
""http://www.ozon.ru/context/detail/id/5254326";
that is till the question mark.
What should I do to avoid the p
There is a dataframe in R that looks that
Person --- Organization --- Year In --- Year Out
P1X 20012005
P2X 20022006
What is the most quick way to convert it to the table of the
connections between two people with a
merge(d1, d2, by.x = "y", by.y = "y1")
>
> ## an alternate solution in this case
> d1.alt <- d1
> d1.alt$owner <- d2[d2$y1[d1$y], "y2"]
>
> ## Compare them
> dboth
> d1.alt
>
> Hope this helps,
>
> Josh
>
> On Sun, May 29,
Hello!
The question should be very naive, but I am a beginner and stuck with
this unfortunately.
There is a dataset of people's affiliation to companies that looks
like that (a data frame actually)
x y
1 a X
2 b X
3 c X
4 f Z
5 e Z
6 g Z
where x is a name of a person and y is a company name. That
8 matches
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