Hi
I need to implement Holt-Winter's Exponential Smoothing in my project. I
was going through implementation of Holt-Winter's Exponential Smoothing in
forecast package. I would appreciate if someone can explain how R finds
best value of alpha and beta given the dataset. It ll be great if someone
c
Hi R helpers,
I have a set of data best shown in this below graph.
Each coloured line represents a statistic calculated across pairs of DNA
sequences. And for each coloured line, I would like to identify breakpoints -
so identify the chunks where the values are high, for example, in the light
Dear Sir/Madam
I get an error when I run a assetsFit function of fPortfolio package.
You just need to load the fPortfolio package and run this command to get
the same error that I get. The only fitting method that works is "norm"
function.the "snorm" and "st" methods give error.
library(fPortfol
Thanks Arun! I see now that the description of the "varying" argument for
reshape includes the following:
"This is canonically a list of vectors of variable names"
Originally, I saw in the Details section:
"Notice that the order of variables in varying is like x.1,y.1,x.2,y.2."
Best,
Doug
On
Dear community,
I am replicating a paper (The Effect of Structures and Power on State
Bargaining Strategies, http://tinyurl.com/oyk289c) for a class project.
The author used “gologit” in STATA, and I need the equivalent function
in R. She used a “Generalized Ordered Logit” (see below model
de
On Jan 30, 2014, at 6:46 AM, Göran Broström wrote:
> In the documentation of 'prmatrix' (base) I read, under Details:
>
> ‘prmatrix’ is an earlier form of ‘print.matrix’
>
> but 'print' doesn't seem to have a 'matrix' method. And in the 'Examples'
> section:
>
> chm <- matrix(...
> chm # uses
Thanks Yihui and Jeff.
I've retrieved the default CSS file and made a tweak to it (changing a
header 1 size just to test it) and saved it to the same local directory as
my .Rmd file using the name 'mymarkdown.css' for testing.
I've added:
options(rstudio.markdownToHTML =
function(inputFile, out
Exactly. Please see RStudio documentation:
https://support.rstudio.com/hc/en-us/articles/200552186-Customizing-Markdown-Rendering
Regards,
Yihui
--
Yihui Xie
Web: http://yihui.name
On Thu, Jan 30, 2014 at 10:57 AM, Jeff Newmiller
wrote:
> This sounds like a classic "you need to write a custom
I ran an example using glmmADMB, and I got this error:
data(bacteria,package="MASS")
bacteria$present <- as.numeric(bacteria$y)-1
(bfit <- glmmadmb(present ~ trt + I(week > 2), random = ~ 1 | ID,
+ family = "binomial", data = bacteria))
Error in paste0(symbol1, paste0(paste0(var, collapse = symb
Hi,
Here is description of my problem:
I have data frame that contains 110 variables (columns) and 595
observations each.
Some of the variables will be my Y-dependent variable, some will be Q, X, Z
- independent variables
I need to estimate robust regression models: Y~X+Z+Q
I want to create 4 su
Thanks a lot Bill!
This works fine!
Useful to know regarding subset.
Charles
--
View this message in context:
http://r.789695.n4.nabble.com/mlogit-message-invalid-row-names-length-after-subsetting-data-tp4684465p4684470.html
Sent from the R help mailing list archive at Nabble.com.
__
> dd1 <- subset(dd, dd$Effect=='none')
Try using
dd1 <- dd[dd$Effect=='none', ]
instead of that call to subset(). subset() strips
the non-data.frame attributes from its output.
It may be easier to use the subset argument to mlogit,
as in mlogit(..., subset = Effect=="none").
Bill Dunlap
TIBC
Hi!
I have been working a while with mlogit, estimating successfully a series of
models.
This time I have a series of discrete choice experiments with different
effects to test (var Effect). I use the code below: when I estimate the
first model with "dd" it's work fine. Then I perform subset dd in
On Thu, 30 Jan 2014, Gastón Acosta c. wrote:
He le?do bastante sobre el programa R. No soy un programador. Estoy
interesado en obtener un programa R que permita calcular los intervalos
de confianza y el error de estimaci?n del coeficiente Gini, ya que el
c?lculo de este y su gr?fico, as? como
He leído bastante sobre el programa R. No soy un programador. Estoy interesado
en obtener un programa R que permita calcular los intervalos de confianza y el
error de estimación del coeficiente Gini, ya que el cálculo de este y su
gráfico, así como la curva de Lorenz, se logran por otros medios
Dear All
We have recently released SPRINT v1.0.5. SPRINT provides parallelised
versions of existing R functions (e.g. statistical, machine learning,
utility) that often exceed computational limits (speed or memory) with
large or complex data sets.
SPRINT 1.0.5 now:
-> runs on Mac OSX mu
Another way would be:
library(qdap)
library(stringr)
x <- scan(what="character",)
x1 <- c(x,x)
x1 <- paste(x1,collapse=" ")
x2 <- gsub('"',"",bracketXtract(x1,"curly"))
res2 <-
as.data.frame(str_trim(do.call(rbind,genXtract(paste0(x2,","),":",","))),stringsAsFactors=FALSE)
res2[,1:3] <-
Hello again,
turns out that I was able to nail down the problem to this :
Prior to the profiling, I have several packages and a lot of functions to
load, including the C code for the rankCR function in R.
If I load first the libraries and next the C functions
library(Hmisc)
library(copula)
libr
This sounds like a classic "you need to write a custom CSS file" problem...
Which is off-topic here, so is homework for you.
---
Jeff NewmillerThe . . Go Live...
DCN:Basics: #
Hi Yihui,
The package I have installed is "knitr". To generate the HTML, I run Knit
HTML from within R Studio version .98.490 (there's an icon to initiate it.
Here's a simple example:
showcode <- FALSE
commentchar <- NA
You can load this data as 'mydf'...
dput(mydf)
structure(list(PERSONPROFILE_
In the documentation of 'prmatrix' (base) I read, under Details:
‘prmatrix’ is an earlier form of ‘print.matrix’
but 'print' doesn't seem to have a 'matrix' method. And in the
'Examples' section:
chm <- matrix(...
chm # uses print.matrix()
Is this a bug in the documentation?
R-3.0.2 on ubun
Dear R-Community,
I`m trying to apply the mgcv package to fill gaps in sensor data from
different sites (9 sites, 2 sensors per site) and do the filling on a
site-wise level.
Based on
http://r.789695.n4.nabble.com/mgcv-gamm-predict-to-reflect-random-s-effects-td3622738.html
my model looks like th
Hello,
Maybe something like the following.
x <- scan(what = "character", text = '
{"trial":1,"corr":1,"resp_dur":799,"stim":"â†*Â�*â†*Â�*ââ€
*�*â†*�*â†*�*","cond
":"congruent"},{"trial":2,"corr":1,"resp_dur":0,"stim":"xxââ€
’xx","cond":"
nogo"},{"trial":3,"corr":0,"resp_dur
Hello
I am trying to run a model where the number of observations is less than
the number of predictors. When I've tried to run the regsubsets on a dummy
dataset of random normally distributed numbers it gives me an error
whenever I set n to be less than p. For instance, when number of
observation
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