Dear Shailendra and Roy,
Yes, the info ncvar_get retrieves is of
different lengths. soi_final does not
have a time variable for the x axis, and
tt is a integer vector
int [1:2001(1d)] 0 365 730 1095 1460 1825 2190 2555 2920 3285 ...
The file is a HDF5 file:
rasmus@twosixty ~ % file
Hi Shailendra:
You didn't provide the error messages you received, which makes it difficult
to answer. I will say here is at least one typo, in:
> write.csv(amo_final, "soi.csv", row.names = FALSE)
You have only defined "soi_final". But I would also be surprised if either of
the "cbind()" o
Hello,
Something like this?
old_par <- par(mar = par("mar") + c(5, 0, -2, 0))
boxplot(SCORE ~ ATTRIBUTE, dd, cex.axis = 0.6, las = 2)
par(old_par)
Hope this helps,
Rui Barradas
Às 00:06 de 15/03/2019, roslinazairimah zakaria escreveu:
Hi Rui and Ivan,
Yes both works well.
table(dd$ATTRIBU
В Fri, 15 Mar 2019 08:06:52 +0800
roslinazairimah zakaria пишет:
> I want to draw boxplot for each individual score of the
> attributes.
You mean, a box per every possible ATTRIBUTE value? This is easily
doable with the bwplot() function from library(lattice).
--
Best regards,
Ivan
__
Hi Rui and Ivan,
Yes both works well.
table(dd$ATTRIBUTE, dd$TRAIT) #or
xtabs( ~ ATTRIBUTE + TRAIT, dd)
I have another question,I also want to extract all the PCT_SCORE to draw
box plot. I have tried to draw box of PCT_SCORE for all attribute scores.
boxplot(dd$PCT_SCORE, ylim=c(0,100),
Yes, it does.
table(dd$ATTRIBUTE, dd$TRAIT) #or
xtabs( ~ ATTRIBUTE + TRAIT, dd)
Thank you so much Rui and Ivan.
On Fri, Mar 15, 2019 at 5:51 AM Rui Barradas wrote:
> Hello,
>
> Or more simple,
>
> xtabs( ~ ATTRIBUTE + TRAIT, dd)
>
>
> Hope this helps,
>
> Rui Barradas
>
> Às 19:27 de 14/03/201
Hello,
Or more simple,
xtabs( ~ ATTRIBUTE + TRAIT, dd)
Hope this helps,
Rui Barradas
Às 19:27 de 14/03/2019, Ivan Krylov escreveu:
On Fri, 15 Mar 2019 03:06:28 +0800
roslinazairimah zakaria wrote:
how many of ATTRIBUTE related to TRAITS.
The table() function can be used to count occurr
On Fri, 15 Mar 2019 03:06:28 +0800
roslinazairimah zakaria wrote:
> how many of ATTRIBUTE related to TRAITS.
The table() function can be used to count occurrences of each
combination of factor levels. Does extracting the two columns by
dd[,c('ATTRIBUTE','TRAIT')] and passing the result to table(
Thank you so much Jim.
Here is the code.
sum_balok <- as.vector(by(dt1$x,dt1$year,sum,na.rm=TRUE))
sum_gambang <- as.vector(by(dt2$x,dt2$year,sum,na.rm=TRUE))
sum_sgsoi <- as.vector(by(dt3$x,dt3$year,sum,na.rm=TRUE))
sum_jpsphg <- as.vector(by(dt4$x,dt4$year,sum,na.rm=TRUE))
sum_pbesar <- a
Hi Roslina,
This may be what you want:
sum_balok<-
as.vector(by(aggbalok_2009_2014$x,aggbalok_2009_2014$year,sum,na.rm=TRUE))
cbind(year=2009:2014,sum_balok)
I don't have the data for the other measures, but you could calculate
the sums as you did below and then add them to the cbind arguments.
Thank you very much Jim. It works beautifully.
Best regards,
On Fri, Jul 29, 2016 at 11:56 AM, Jim Lemon wrote:
> Hi Roslina,
> Try this:
>
> aggbalok_mth[aggbalok_mth$year %in% 2009:2014,]
>
> Jim
>
>
> On Fri, Jul 29, 2016 at 1:12 PM, roslinazairimah zakaria
> wrote:
> > Dear r-users,
>
Hi Roslina,
Try this:
aggbalok_mth[aggbalok_mth$year %in% 2009:2014,]
Jim
On Fri, Jul 29, 2016 at 1:12 PM, roslinazairimah zakaria
wrote:
> Dear r-users,
>
> I would like to extract year from 2009 to 2014 with the corresponding month
> and rain amount.
>
> I tried this:
> aggbalok_mth[aggbalo
Make use of the plyr and reshape2 package (both on CRAN):
library(plyr)
d<-adply(ArrayDiseaseCor, 1:2)
# adply calls function identity by default
d<-melt(d)
d<-subset(d,value>.5)
head(d)
You will have to rename columns, or adjust arguments in melt/adply.
Note: use set.seed before sampling for rep
see inline
On 12 February 2015 at 09:10, Sven E. Templer wrote:
> Make use of the plyr and reshape2 package (both on CRAN):
>
I forgot:
library(reshape2)
> library(plyr)
> d<-adply(ArrayDiseaseCor, 1:2)
> # adply calls function identity by default
> d<-melt(d)
> d<-subset(d,value>.5)
> head(d)
Hi Doran
I'm also trying to scrape the leaderboard data. Did you happen to figure
out how to extract the athlete's team/affiliate? Trying to do a bit of code
to figure out which teams will qualify when individuals are removed.
On Sunday, March 2, 2014 2:34:21 PM UTC-5, Doran, Harold wrote:
>
>
This is fantastic, thank you. I¹ve modified the code to loop through all
the pages and grab all rows of the HTML table.
Thank you, Rui.
On 3/2/14, 5:08 AM, "Rui Barradas" wrote:
>Hello,
>
>Maybe something like the following.
>
>#install.packages("XML", dep = TRUE)
>
>library(XML)
>
>url <-
>
Hello,
Maybe something like the following.
#install.packages("XML", dep = TRUE)
library(XML)
url <-
"http://games.crossfit.com/scores/leaderboard.php?stage=1&sort=0&division=1®ion=0&numberperpage=60&page=0&competition=0&frontpage=0&expanded=0&full=1&year=14&showtoggles=0&hidedropdowns=0&showa
Note: I usually reply to posters as well as the list, but after having
my email address sent to this poster forwarded to a spamming photo
site which refuses to honor its unsubscribe links, I am deleting her
address from the response.
On Jan 12, 2013, at 6:23 PM, Roslina Zakaria wrote:
Hi, welcome to the R-help list
This help list does not accept html coded messages and so nothing meaningful
seems to have come through.
If you aready have the data loaded into R please supply some sample data
The easiest way to supply data is to use the dput() function. Example with
your
Hi
No HTML. No highlighting.
if you want some data from object use extraction operator
?"["
Petr
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
> project.org] On Behalf Of shairul samat
> Sent: Friday, January 11, 2013 10:19 AM
> To: r-help@r-proje
Le 17/05/12 03:37, Min Wang a écrit :
Dear Sir or Madam,
I have a question like this. I want to extract the following data from the
square bracket:
1 bandband[0.86]
2 bandband[0.93]
3 noband noban
Hello,
Roslina Zakaria wrote
>
> HI,
>
>
>
> I would like to extract data in a specific way. For example, the rainfall
> data
>
>
>
> 0,0,1.5,0,0, 3,1,2.5,0,0,0,0, 2.3,0,0,0, 2.1,1.4,0,0,0, 3,2,1,0,0,0...
>
>
>
> data_1: 1.5, 2.3 ( a single nonzero data between zeros data
eb
> From: Joshua Ulrich
> To: Deb Midya
> Cc: R. Michael Weylandt ; "r-help@r-project.org"
>
> Sent: Friday, 4 November 2011 4:12 PM
> Subject: Re: [R] Extract Data from Yahoo Finance
>
> Deb,
>
> See getQuote in the quantmod package. For example:
> ge
t;
> Deb
>
> From: R. Michael Weylandt
> To: Deb Midya
> Cc: "r-help@r-project.org"
> Sent: Friday, 4 November 2011 12:13 AM
> Subject: Re: [R] Extract Data from Yahoo Finance
>
> The quantmod package can probably do what you are asking, but it's a
> l
you have given.
Â
Regards,
Â
Deb
From: R. Michael Weylandt
To: Deb Midya
Cc: "r-help@r-project.org"
Sent: Friday, 4 November 2011 12:13 AM
Subject: Re: [R] Extract Data from Yahoo Finance
The quantmod package can probably do what you are asking, but it's a
little hard to be ce
Ask, Bid, ..., Stock Exchange?
Â
Once again, thank you very much for the time you have given.
Â
Regards,
Â
Deb
Â
From: Vikram Bahure
Sent: Thursday, 3 November 2011 7:15 PM
Subject: Re: [R] Extract Data from Yahoo Finance
Hi,
You can install the following librar
The quantmod package can probably do what you are asking, but it's a
little hard to be certain since you provide neither a list of all the
fields you are actually talking about nor a link to the page with the
fields in question.
Michael
On Thu, Nov 3, 2011 at 12:02 AM, Deb Midya wrote:
> Hi R –u
Dear all,
Thanks for your help.
Option of Sarah and Dan is just what I want:
ff1<-mydata[mydata$cat%in%c(“wish1”, “wish2”, “wish3”),]
Then I used ff1 in ggplot2 without problems.
Option of Dennis (reshape2) does produced an output “no coherent”:
content in he object contained data of categorical
Are you trying to separate the substrings in cat? If so, one way is to
use the colsplit() function in the reshape2 package, something like
(untested since you did not provide a suitable data format with which
to work):
library('reshape2')
splitcat <- colsplit(mydata$cat, ' ', names = c('fat', 'bat
ón
>> Cc: R-help@r-project.org
>> Subject: Re: [R] extract data for specific levels factor
>>
>> Hi,
>>
>> 2011/10/25 Andrés Aragón :
>> > Dear all,
>> >
>> > I'm trying to analyze data with the following structure:
>> >
>&
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
> project.org] On Behalf Of Sarah Goslee
> Sent: Tuesday, October 25, 2011 12:50 PM
> To: Andrés Aragón
> Cc: R-help@r-project.org
> Subject: Re: [R] extract data for specific
Hi,
2011/10/25 Andrés Aragón :
> Dear all,
>
> I'm trying to analyze data with the following structure:
>
> ind cat tx age
> 40.2 por fol peq vh 35
> 41.9 por fol med vh 35
> 68.9 por fol preov vh 35
> 71.5 por fol peq ser 37
> 67.5
I figured it out:
x<-sub("^.*:([[:digit:]]+)..([[:digit:]]+).*", "\\1 \\2", CTSS$V4)
--
View this message in context:
http://r.789695.n4.nabble.com/extract-data-from-a-column-tp3609890p3610147.html
Sent from the R help mailing list archive at Nabble.com.
___
So if I am given some data that look like this:
> head(CTSS)
V1 V2 V3V4 V5 V6 V7
1 chr1 564563 564598 chr1:564588..564589,+ 1336
2 chr1 564620 564649 chr1:564644..564645,+ 94
3 chr1 565369 565404 chr1:565371..565372,+ 217
4 chr1 565463 5655
If I understand what you want (which I may very well not) you could use
something like this:
If this is an example of your type of data:
564589,+
substr(x, 1, 6)
as.numeric(x)
Please try to post something more thorough if you would like a better
answer.
Sam
--
View this message in context:
ht
Hi:
Here's one way using package plyr and its ddply() function. ddply()
takes a data frame as input and expects to output either a scalar or a
data frame. In this case, we want the latter.
library(plyr)
f <- function(df) {
mn <- min(df$result)
tms <- df$time[df$result == mn]
subdf <-
Here is a start; you can change the column names:
> x
chr startend peak_loc cluster_TC strand peak_TC
1 chr1 564620 564649 chr1:564644..564645,+ 94 + 10
2 chr1 565369 565404 chr1:565371..565372,+217 + 8
3 chr1 565463 565541 chr1:565480..565
'merge' comes in handy:
> spec <- read.table(textConnection("Species 1 2 3
+ a t y h
+ b f j u
+ c r y u"), header=TRUE)
> comm <- read.table(textConnection("community sp
Dear David,
Thats great, thanks very much for the help, much appreciated.
On 6 Jan 2011, at 15:53, David Winsemius wrote:
On Jan 6, 2011, at 6:36 AM, Chris Mcowen wrote:
> Dear List,
>
> I have a data frame called trait with roughly 800 species in, each species
> have 15 columns of informat
On Jan 6, 2011, at 6:36 AM, Chris Mcowen wrote:
Dear List,
I have a data frame called trait with roughly 800 species in, each
species have 15 columns of information:
Species 1 2 3 etc..
a t y h
b f j
On Oct 14, 2009, at 5:05 PM, nmo wrote:
I have generated a table using the stl function from tseries.
How?
How can I extract (other than manual copy)
Huh?
data from a column (eg trend)
First you look at the structure of the object. In my case, since you
did not provide a worked ex
On Fri, Aug 14, 2009 at 9:11 PM, Kate
Zinszer wrote:
> I'm hoping that someone could guide me in how to extract data from
> shapefiles. I want to extract data from a shapefile (classed as
> "SpatialPolygonsDataFrame") and more specifically, the data is contained
> within the slot called "coords
Hi Chuck.
Well, here is one way
theURL =
"http://oasasapps.oasas.state.ny.us/portal/pls/portal/oasasrep.providersearch.take_to_rpt?P1=3489&P2=11490";
doc = htmlParse(theURL, useInternalNodes = TRUE,
error = function(...) {}) # discard any error messages
# Find the nodes
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