I saved my plots as pdf and used pdflatex. It's a few years ago and now you
can even use the r-package cowplot to create panels with subfigures. That
means more work with r, less manual work.
I believe kable from the knitr package can export tables for latex too.
Hope this helps.
Ulrik
Paul
Hi
You might need an approach that converts the ggplot object to a gtable
and then either combine the gtables as here ...
http://stackoverflow.com/questions/16255579/how-can-i-make-consistent-width-plots-in-ggplot-with-legends
... or explicitly control the width of the plot within the gtable
Hi List,
Trying to update a data.frame column within a foreach nested for loop
### trial data
set.seed(666)
xyz<-as.data.frame(cbind(x=rep(rpois(5000,10),2)+1,
y=rep(rpois(5000,10),2)+1,z=round(runif(1, min=-3, max=40),2)))
xyz$mins<-rep(NA, nrow(xyz))
cl<-makeCluster(16) #adjust to your
I would think knitr package would be useful in this endeavor. And possibly
RStudio
If that doesn't do it, someone here may have a better hint, but solving this
kind of question can require studying both the input (R code) and output
(tikz/LaTeX code). While the R code belongs here,
> On Aug 3, 2016, at 12:07 PM, Isaac Singini via R-help
> wrote:
>
> Dear AllI am new to R, I am struggling to figure out and resolve warning.I
> have fitted a joint model for survival and longitudinal data using the "JM"
> library using the syntax below.
> #
Hello,
not totally sure if this is a R or a LaTeX topic...
I am a total newbie to R and LaTeX, and trying to write my masters
thesis right now... I tried to get this answered via
https://cran.r-project.org/web/packages/tikzDevice/vignettes/tikzDevice.pdf
...but I failed... :(
I am creating
Dear AllI am new to R, I am struggling to figure out and resolve warning.I
have fitted a joint model for survival and longitudinal data using the "JM"
library using the syntax below.
# Longitudinal submodellmeFit.p1_constr <- lme(sqrtcd4wk ~ cd4tpt +
pred:cd4tpt, data = cd4long_constr,
Dear All,
My question is simple (but the answer perhaps less): how does R lm()
function benefit from an optimized BLAS library (such as ATLAS, OpenBLAS, or
the MKL library in R Open)? I suppose that these BLAS optimizations
concentrate on the level-3 BLAS, and lm() function relies on level-1
I'm trying to reproduce some results from Hosmer & Lemeshow's "Applied Logistic
Regression" second edition, pp. 74-79. The objective is to estimate odds ratios
for low weight births with interaction between mother's age and weight
(dichotomized at 110 lb.). I can get the point estimates, but I
Hi,
In regards to your first question:
>Hi R users,
>I have a dataframe, with daily precipitation data, is it possible to plot
>annual mean or annual sum values directly? Thanks for your help.
>df
>year month day precip time
>2010 1 10.5 2010-01-01
>2010
Unless there is good reason to do otherwise, you should cc the list to
allow others to provide perhaps better responses or to correct my
possible errors. I have done so here.
If your "parameter" is fixed in the modeling it cannot contribute to
the uncertainty of estimation of the remaining model
Estimado Mauricio Monsalvo
Usted dice que el csv es muy pesado y sucio, por lo cuál es posible que su
trabajo en R sea correcto, pero como los datos son “malos en su calidad de
almacenamiento”, hay problemas.
CSV es leído por planillas de cálculo y bases de datos, las primeras son
fáciles
Hola.
Mi problema del día...
Estoy importando un .csv muy pesado y muy sucio, en el sentido de tener
variables con problemas en sus datos.
En concreto lo que me pasa es que logro levantarlo, tal que para un caso
concreto del data.table obtengo un valor: 753,2256 que parece un número
pero es un
That Petr already showed. Please read his email again.
lily li schrieb am Mi., 3. Aug. 2016 21:09:
> Thanks. How to add an additional column, with the name of each dataframe's
> name?
>
> On Wed, Aug 3, 2016 at 1:06 PM, Ulrik Stervbo
> wrote:
>
>>
Thanks. How to add an additional column, with the name of each dataframe's
name?
On Wed, Aug 3, 2016 at 1:06 PM, Ulrik Stervbo
wrote:
> Not quite - this works: rbind(df1, df2, df3, df1, df2, df3)
>
> Or if the have your data.frames in a list, use do.call:
>
> df.lst <-
Not quite - this works: rbind(df1, df2, df3, df1, df2, df3)
Or if the have your data.frames in a list, use do.call:
df.lst <- list(df1, df2, df3, df1, df2, df3)
do.call(rbind, df.lst)
You might take a look at the facet functionality in ggplot once you are
ready to build your plots.
Best,
Ulrik
You could use dplyr:
library(plyr)
ddply(df, .variables = "year", summarise, mean.precip = mean(precip))
Hope this helps
Ulrik
On Wed, 3 Aug 2016 at 17:29 lily li wrote:
> I meant that my dataframe has daily data, but how to plot annual mean/sum
> directly? Thanks.
>
>
Estimado Luis Espíndola
Entiendo que usted no tiene una matriz, sino un data.frame.
Yo no uso esa función, pero es posible por ejemplo:
x <- data.frame(a = c(0,1,2,NA), b = c(0,NA,1,2), c = c(NA, 0, 1, 2))
x
x$a <- replace(x$a, is.na(x$a), 0)
x
x$b <- replace(x$b, x$b==2, 333)
Yo realizo una
Vicente:
You have not received a reply. I think it is because your post appears
to reveal a profound lack of understanding about how empirical
modeling works: the uncertainty in parameter estimates derives from
the uncertainty in the data (via the modeling process, of course). You
cannot set them
Hola,
Lo que estás comentando es la aplicación de un t-test para las dos muestras
(tus dos series temporales) y con este test determinar si son las medias
iguales o no.
Pero con las series temporales, no puedes aplicar un t-test porque en las
series temporales los valores están auto-correlados
Thanks, but rbind/merge function only combines two dataframes each time,
how to work on multiple dataframes? Thanks again.
On Wed, Aug 3, 2016 at 4:20 AM, PIKAL Petr wrote:
> Hi.
>
> Hm. I would add a column indicating data frame and merge/rbind all data
> frames.
>
>
I meant that my dataframe has daily data, but how to plot annual mean/sum
directly? Thanks.
On Wed, Aug 3, 2016 at 4:16 AM, PIKAL Petr wrote:
> Hi
>
> What do you mean to plot annual mean/sum directly? You can compute it by
> aggregate function and add it to your plot,
There are at least two canonical correspondence analysis functions named cca()
in different R packages so we don't have enough information to begin. The
posting guide encourages providing a reproducible example using dput() to
provide enough data so that we can run your code. If we don't know
Dear all;
I am sorry for my earlier post without subject. My question in earlier mail
was:
I am going to run models for variable selection using elastic-net. Because
I have about 1500 descriptive (independent) variables which they are highly
correlated. Before running elastic-net and even single
Hi all;
I am going to run models for variable selection using elastic-net. Because
I have about 1500 descriptive (independent) variables which they are highly
correlated. Before running elastic-net and even single regressions (~1500)
I need get fitted values for dependent variables using MIXED
Part of the confusion is that Bonferroni is often described as an adjustment to
the significance level (sig-level) not the p-value. For example, to evaluate
p-values when there are 8 tests, we compare the p-value to the sig-level/8 so
the sig-level decreases. The p.adjust() function adjusts the
Hi Duncan and Jim,
Yes, definitely you are right. I should comment the third par().
par(mfrow=c(1,2))
stn_all<-matrix(400*rnorm(20)+4,ncol=2)
par(mar=c(4,4,2,1.2),oma = c(1, 1, 1, 1),xaxs="i", yaxs="i")
hist(stn_all[,1],prob=TRUE, main ="Balok ",col="yellowgreen", cex.axis=1.2,
xlab="Rain
On 03/08/2016 8:01 AM, roslinazairimah zakaria wrote:
Hi Jim,
I tried your code, however it still gives me only one plot. I don't
understand what is going on. Any clue?
The third par() call tells R that you want to start a new page. (So did
the second one, but it wasn't a problem there.)
Hi Jim,
I tried your code, however it still gives me only one plot. I don't
understand what is going on. Any clue?
On Wed, Aug 3, 2016 at 4:55 PM, Jim Lemon wrote:
> Hi Roslina,
> You only specify space for two plots in:
>
> par(mfrow=c(1,2))
>
> However, you only try
Dear all,
I would like to introduce an input parameter with an associated standard
error to perform a fitting using the nls function (or any similar function):
parameter1 = 9.00 +/- 0.20 (parameter 1 has a value of 9.00 and standard
error of 0.20)
fittingResults <- nls(y ~ function(xdata,
Hi.
Hm. I would add a column indicating data frame and merge/rbind all data frames.
Something like
df1$fr <- 1
df2$fr <- 2
dfkompl <- rbind(df1, df2)
ggplot(dfkompl, aes(x=time, y=varA, colour=factor(fr))
Cheers
Petr
> -Original Message-
> From: R-help
> p.adjust for bonferroni p value correction does not appear to be working
> correctly:
You should re-check what a Bonferroni correction does, or at least reboot your
intuition (mine needs rebooting all the time). All the p-values should
_increase_ by a factor of n, with a ceiling of 1.0.
Hi
What do you mean to plot annual mean/sum directly? You can compute it by
aggregate function and add it to your plot, but I am not sure if it is enough
direct.
Cheers
Petr
> -Original Message-
> From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of lily li
> Sent: Tuesday,
Dear R users,
I'm glad to announce the new version of water package (0.5).
As this is my first message to the list, I want to add that this
package provides tools to estimate actual evapotranspiration from
surface energy balance models.
Right now you can run the well-know METRIC model using it.
p.adjust for bonferroni p value correction does not appear to be working
correctly:
> p <- runif(50)
>
> p
[1] 0.08280254 0.08955706 0.19754389 0.52812033 0.68907772 0.21849696
0.02774784 0.23923562 0.03482480 0.76437481 0.87236155 0.76438604
[13] 0.37432032 0.89630318 0.01626565 0.08152060
Dear Rosalina
I do not think par(mfrow(c(1, 2)) does what you think it does although
mfrow(c(2, 2)) might.
You could consider using layout() instead
On 03/08/2016 06:44, roslinazairimah zakaria wrote:
Dear r-users,
I would like to plot 4 graphs arranged as 2 by 2 and follows are my codes.
Hi Roslina,
You only specify space for two plots in:
par(mfrow=c(1,2))
However, you only try to plot two plots, so I will assume that you
only want two. You haven't defined "x" in the above code, which will
cause an error. The code below gives me two plots as I would expect (I
made up the data
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