Generate a clustered pattern in [0; 1]2 as follows:
(a) Generate nc, say 20, independent cluster centres (which can be called
parents) that are distributed i.i.d. uniformly in the unit square;
(b) then n daughters are assigned i.i.d. uniformly to these parents and
such that each daughter is loca
Or if you want a slightly prettier output:
formatDate<-function(x) {
return(paste(x$year,formatC(x$month,width=2,flag=0),
formatC(x$day,width=2,flag=0),sep="-"))
}
formatDate(p.dates)
Jim
On Thu, Nov 9, 2017 at 10:32 AM, David L Carlson wrote:
> How about
>
>> p_dates <- paste0(p.dates[[3]],
How about
> p_dates <- paste0(p.dates[[3]], "-", p.dates[[2]], "-", p.dates[[1]])
> myData$p_dates <- p_dates
> print(myData, right=FALSE)
dates p_dates
1 2017-10-01 1396-7-9
2 2017-10-02 1396-7-10
3 2017-10-03 1396-7-11
> str(myData)
'data.frame': 3 obs. of 2 variables:
$ dates : D
R-Help
Trying to convert a Gregorian calendar dataset to a Persian calendar
dataset. But I end up with a list and not sure what to do. For example ...
dates <- c("2017-10-1","2017-10-2","2017-10-3")
myData <- data.frame(dates)
myData$dates <- as.Date(myData$dates, format = "%Y-%m-%d")
> myData
Hello
Thank you all for most useful responses. I was looking for answers in the
wrong place, that is why I have not responded before!
Tom Backer Johnsen
> On 7 Nov 2017, at 21:25, Rui Barradas wrote:
>
> Hello,
>
> Try
>
> print(head(...))
>
> Hope this helps,
>
> Rui Barradas
>
> Em 07
On Wed, Nov 8, 2017 at 6:14 AM, Florian Oswald wrote:
> hi all,
>
> i want to share an R installation from a master node to several compute
> nodes via NFS. all nodes run ubuntu 16.04. I tried building R from source
> but hit a wall several times because of missing dependencies.
apt-get build-dep
hi all,
i want to share an R installation from a master node to several compute
nodes via NFS. all nodes run ubuntu 16.04. I tried building R from source
but hit a wall several times because of missing dependencies. So I am
looking for something that uses the usual apt-get install proceedure, but
I get the same result as Eric withR version 3.4.2 (2017-09-28)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 17.04
It looks like you have "tidyverse" loaded so I tried it with just ggplot2
loaded and with tidyverse loaded.
On Wednesday, November 8, 2017, 4:16:14 AM EST, Eri
Dear R Community,
Is there a way to adjust the line width of the dendrogram in heat map.2
function? I tried "lwd", but it didn't work...
Also, is there a way to adjust the general height/width/position of the
dendrogram using heatmap.2 function? I feel the portion of the dendrogram is
huge compa
Hi Paul,
The following worked for me:
library(lubridate)
dataset1 <- read.csv("dataset1.csv",stringsAsFactors=FALSE)
dataset1$TransitDate <- mdy(dataset1$TransitDate)
TransitDateFrame <- data.frame(TransitDate=seq(as.Date("1985-10-01"),
as.Date("2017-10-01"), by = "month"))
dataset1NEW <- merge(Tr
Sorry, I was too quick
Should be
dput(TransitDateFrame[1:20,])
dput(dataset1[1:20, ])
Cheers
Petr
> Hi
>
> Instead of attachments copy directly result of dput(TransitDateFrame) and
> dput(dataset1) to your email. Or, if your data have more than about 20 rows
> you could copy only part of it.
>
>
Hi
Instead of attachments copy directly result of dput(TransitDateFrame) and
dput(dataset1) to your email. Or, if your data have more than about 20 rows you
could copy only part of it.
dput(TransitDateFrame[,1:20])
dput(dataset1[,1:20])
Only with this approach we can evaluate your data in all
Dear Eric,
Hope you are doing great. I also tried the following:
#First I created the complete date sequence
TransitDateFrame <- data.frame(TransitDate=seq(as.Date(dataset1[1,1]),
as.Date(dataset1[nrow(dataset1),1]), by = "month"))
#Then I did the merging
dataset1NEW <- merge(TransitDateFrame
Dear Eric, thank you for your kind reply,
Assume dataset1Frame is the table containing the missing dates,
and TransitDateFrame <- seq(as.Date(dataset1Frame[1,1]),
as.Date(dataset1Frame[nrow(dataset1Frame),1]), "months")
#dataset1Frame is basically reading some fields from a SQL Server table,
th
On Tue, Nov 7, 2017 at 6:46 PM, George Balas wrote:
> For anyone who sees this conversation.
>
> There is a bug in installation of igraph in R language in Ubuntu. There is
> a solution in stackoverflow.
A link would be nice.
We have to use the devtools. Write this code:
> install.packages("devt
Thanks,
I think, I found the problem. It seems to related locale setting.
If I start with 'LANG=C R' everything's good.
--
Zeki Çatav
zekicatav.com
On Nov 8, 2017 1:56 PM, "John Kane" wrote:
I get the same result as Eric with
R version 3.4.2 (2017-09-28)
Platform: x86_64-pc-linux-gnu (64-bit)
I was not able to reproduce this problem. I tried two environments
1. Ubuntu 14.04.5 LTS, R version 3.4.2 (same R version as yours)
2. Windows 10, same R version
On Wed, Nov 8, 2017 at 9:50 AM, Zeki ÇATAV wrote:
> Hello,
> I've an error recently.
>
> ggplot(data = mtcars, aes(x= wt, y= mpg)) +
Hello,
I've an error recently.
ggplot(data = mtcars, aes(x= wt, y= mpg)) + geom_line()
Error: Found object is not a stat.
> sessionInfo()
R version 3.4.2 (2017-09-28)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 16.04.3 LTS
Matrix products: default
BLAS: /usr/lib/openblas-base/li
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