Disculpen, A veces me falla el otro correo y lo reenvío por este
De: R-help-es [mailto:r-help-es-boun...@r-project.org] En nombre de
jbetancourt
Enviado el: sábado, 16 de enero de 2016 05:49
Para: 'Lista R'
CC: luisfo89
Asunto: [R-es] fechas
Hola:
Creo que esta es la solución que buscas.
datIn$semana <- week( mdy( datIn$CST ) )
datIn$semana
plot( datIn$semana, datIn$PrecipitationIn, pch = 20, cex = 0.3 )
Te adjunto un fichero .Rmd para que lo verifiques in situ.
Saludos
El 16/01/16 a las 11:49, jbetancourt escribió:
Estimados
Hola,
Si ya tienes la matriz, puedes usar la orden heatmap.2 del paquete gplots,
que te hace el heatmap y además te dibuja los dendrogramas. Para ver la
ayuda de la orden carga primero el paquete y luego ?heatmap.2
Si m es tu matriz, con:
m[upper.tri(m)] <- t(m)[upper.tri(m)]
consigues que la
Hi,
I want to perform non-negative featurised Matrix factorisation in ‘R’. Is there
any ‘R' package or documentation that explains on this ?
Regards,
Sunny
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R-help@r-project.org mailing list -- To
Ranjan Maitra inbox.com> writes:
>
> On Fri, 15 Jan 2016 21:25:06 -0600 Ranjan Maitra
inbox.com> wrote:
>
> > Hi,
> >
> > I wanted to install tikzDevices on a installation of
> R (3.2.3) on a new machine. However, I am getting:
> >
> > > install.packages('tikzDevices')
> >
> > Warning
In another thread you wrote:
One note: The "cloud" CRAN server is nowadays reachable as
https://cloud.r-project.org
and that is now the preferred URL.
Should I understand from this that it is considered advisable that I use
this URL as my default repository for downloading R and
Hi
I have never seen germination experiments carried out as ordinal regression.
Most germination tests are done using a nls model.
For some species germination may only start a week after planting and then
germinate over 2 or 3 days.
If all germinated over the experimental period and there is no
Hi
What version of JAGS are you using
JAGS 4.0.0 is current
library(rjags)
Loading required package: coda
Linked to JAGS 4.0.0
Loaded modules: basemod,bugs
Regards
Duncan
Duncan Mackay
Department of Agronomy and Soil Science
University of New England
Armidale NSW 2351
Email: home:
Hola,
Creo que no hemos terminado de entenderte.
Voy a intentarlo nuevamente.
- De cada día de la semana tienes un conjunto de medidas: Max_Temp,
Min_Temp,
- ¿Lo que quieres es agrupar estas medidas por semana?. Si agrupas,
entonces como de cada tienes siete medidas de cada
On Sat, 16 Jan 2016 04:45:58 + Ben Bolker wrote:
> Ranjan Maitra inbox.com> writes:
>
> >
> > On Fri, 15 Jan 2016 21:25:06 -0600 Ranjan Maitra
> inbox.com> wrote:
> >
> > > Hi,
> > >
> > > I wanted to install tikzDevices on a installation of
> > R (3.2.3) on a new
> On 16 Jan 2016, at 12:22, Sandeep Rana
> wrote:
>
> Hi,
> I want to perform non-negative featurised Matrix factorisation in ‘R’. Is
> there any ‘R' package or documentation that explains on this ?
>
Well I don't know about the "featurised" but googling on
Dear All,
I’m trying to create a GUI using gWidgets.
I would like to have a checkbox to “switch on/off” different frames within the
GUI. Ideally if one frame is switched on, all other frames would be switched
off.
Unfortunatly I only came as far as this:
library(gWidgets)
Population <-
> Ranjan Maitra
> on Fri, 15 Jan 2016 23:46:19 -0600 writes:
> Yihui, Thanks very much! Explicitly specifying the RStudio
> server works, and I have reinstalled tikzDevice
> Best wishes, Ranjan
Good, and thanks to Yihui indeed!
One note:
Hi
I would like to aggregate a rainfall series with 1min records (timestamp
and value of 0.1mm from a tipping bucket raingauge) to 10min values by
summing up the values.
# ptime is a POSIXlt datetime value with tz="GMT"
t10min <- 600*floor(as.integer(as.POSIXct(data$ptime))/600)
w10min <-
Hi Tonja
I removed the cat(...) in the event handlers because cat writes TRUE or
FALSE to the console but doesn't seem to return a value.
Then it worked. You should initialize the frames to be disabled or the
checkboxes to be checked that both states are consistant.
Regards, Rolf
Dear Bob,
I don't know any package that handles ordinal data the way you are looking
for. I'd just would comment on the ordinal regression. Would the time of
loss be the ordinal response? That seems inefficient to me when you have a
lot of time points (= lots of ordinal classes). IMHO the
Hi
Continuing on from the data.frame code for z that you supplied
Using the data without summarizing first
z$mth = format(date "%m")
z$mth = format(date, "%m")
xyplot(rainfall ~ as.numeric(mth), z,
groups = yr,
type = "l",
auto.key = T,
scales = list(x = list(at =
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