Yes, it does. Thanks.
el
On 25 Oct 2008, at 03:32 , Steven McKinney wrote:
If you are using regular R graphs
(i.e. not lattice or other library
graphics) try setting the margins
with the mar argument to par()
e.g.
par(mar = c(5, 10, 5, 1))
The four numbers specify the amount
of margin room o
1L3
Canada
-Original Message-
From: [EMAIL PROTECTED] on behalf of Dr Eberhard W Lisse
Sent: Fri 10/24/2008 2:44 PM
To: R-help Mailing List
Cc: Dr Eberhard W Lisse
Subject: Re: [R] combining data from different datasets
It's Complicated® :-)-O
I pull the data from a postgresql
Daniel,
the parameter all.x=TRUE is required.
greetings, el
On 24 Oct 2008, at 21:24 , Daniel Malter wrote:
?merge.
It looks though that your "iso" has no identifier variable whereas the
"rawdata" has, so you probably cannot merge it unless/until you have
an
identifier in "iso".
___
It's Complicated® :-)-O
I pull the data from a postgresql table, but I am getting
there, thank you the help.
Another question, I am barplotting the continents horizontally,
ie the more participants the lrger the bars are. I have managed
the make the labels (names of the nontinents) to be horizon
uftrag von Dr Eberhard W Lisse
Gesendet: Friday, October 24, 2008 11:02 AM
An: R-help Mailing List
Cc: Dr Eberhard W Lisse
Betreff: [R] combining data from different datasets
Hi,
I have two tables:
> iso
continent code code3 codenum country
1 EU
2008/10/24 Gabor Grothendieck <[EMAIL PROTECTED]>:
> NA and "NA" are not the same:
>
>> DF <- data.frame(x = c("a", "NA", NA))
>> DF
> x
> 1a
> 2 NA
> 3
>>
>> is.na(NA)
> [1] TRUE
>> is.na("NA")
> [1] FALSE
Yes, but unless you tell it otherwise, read.table will think Namibia
is an NA,
On Fri, Oct 24, 2008 at 11:37 AM, Dr Eberhard W Lisse <[EMAIL PROTECTED]> wrote:
>
> This looks very cool.
>
> But I must still make a plan with regards to country = "NA" (Namibia)
> or continent = "NA" (North America)
>
> But there are the vignettes.
>
> el
>
NA and "NA" are not the same:
> DF <
Gabor,
Thank you,
On 24 Oct 2008, at 17:16 , Gabor Grothendieck wrote:
Here are two solutions. The first uses the R merge command
and the second uses the R sqldf package. See ?merge
and http://sqldf.googlecode.com
Note that alter is an sql keyword so I have changed it
to alt for the second e
Here are two solutions. The first uses the R merge command
and the second uses the R sqldf package. See ?merge
and http://sqldf.googlecode.com
Note that alter is an sql keyword so I have changed it
to alt for the second example:
> merge(iso, rawdata)[c("alt", "sex", "country")]
alter sex count
Hi,
I have two tables:
> iso
continent code code3 codenum country
1 EU AD AND 20 Andorra, Principality of
2 AS AE ARE 784 United Arab Emirates
3 AS AF AFG 4 Afghanistan, Islamic Republic of
4
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