Hello,
I am facing a quite challenging task (at least to me) and I was wondering
if someone could advise how R could assist me to speed the task up.
I am dealing with a dataset with 3 discrete variables and one continuous
variable. The discrete variables are:
V1: 8 modalities
V2: 13 modalities
V
Thank you for the email.
What is the default "n"?
Thanks!
On Tuesday, March 17, 2015 4:06 PM, William Dunlap
wrote:
Increasing the value of 'n' given to density will give an estimate at more
points so it will look smoother. Try n=2^18.
Bill Dunlap
TIBCO Software
wdunlap tibco.com
I have a particular need to divide the device space to draw different plots
and texts, so I decided to use split.screen using a matrix to define the
different space partitions.
My code and explanation is as follows:
# -- START OF R CODE
dirGraf <- "TEST/" # A directory to put the resul
Hello All,
I have a custom color palette as illustrated below. I have more than 8
variables. In the case of more than 8 variables I would simply like to recycle
the color. Has anyone done this or know of a way to have to colors recycle if
there are more than 8 variables.
Best Regards,
Gl
Dear R gurus,
I have some data that require sensitivity and specificity calculation and
generation of an ROC curve. I first calculated the sensitivity and specificity
in Excel using generic formulas (true positives/(true positive+false negative)
etc. To make the ROC curves I switched to R and u
Fix Ace wrote
What is the default "n"?
512:
> length(density(rnorm(10^6))$x)
[1] 512
> args(density.default)
function (x, bw = "nrd0", adjust = 1, kernel = c("gaussian",
"epanechnikov", "rectangular", "triangular", "biweight",
"cosine", "optcosine"), weights = NULL, w
Hi,
If the relation between y and x is piecewise linear, the package
"segmented" can be used to model it. It works pretty well.
My situation is a little different: y and x are both I(1). Is there an
R-package dealing with this situation? If not, is there an econometrics
paper on this issue?
On 03/16/2015 05:05 PM, Saptarshi Guha wrote:
Example was complicated, but here is a simpler form
continueIfTrue <- function(mm=return()){
eval(mm)
}
telemStats <- function(){
y <- substitute(return())
continueIfTrue(y)
print("I would not like this message to be printed")
}
t
On 18/03/15 13:22, Bert Gunter wrote:
With all due respect:
I don't think much respect is due.
Fortune nomination!
cheers,
Rolf
--
Rolf Turner
Technical Editor ANZJS
Department of Statistics
University of Auckland
Phone: +64-9-373-7599 ext. 88276
Home phone: +64-9-480-4619
___
Perhaps read ?try
---
Jeff NewmillerThe . . Go Live...
DCN:Basics: ##.#. ##.#. Live Go...
Live: OO#.. Dead: OO#.. Playing
Resear
With all due respect:
I don't think much respect is due. I doubt that the OP has made much of an
effort to learn R and is merely trying to slap on some prior CS class
concepts onto R. Ergo the confusion and nonsensical post.
http://www.jabberwocky.com/carroll/jabber/jabberwocky.html
seems relev
Increasing the value of 'n' given to density will give an estimate at more
points so it will look smoother. Try n=2^18.
Bill Dunlap
TIBCO Software
wdunlap tibco.com
On Tue, Mar 17, 2015 at 12:06 PM, Fix Ace wrote:
>
>
> I have a dataset with 6187 elements, ranged from 3 to 104028. When I
> tr
I have a dataset with 6187 elements, ranged from 3 to 104028. When I tried to
examine only small range of data, I found that the plot was not smooth (as
shown below):
plot(density(test$V2), xlim=c(0,1000))
Is there away to make it smoother?
Thanks a lot!!
___
On 3/17/2015 10:01 AM, David Winsemius wrote:
On Mar 16, 2015, at 5:05 PM, Saptarshi Guha wrote:
Example was complicated, but here is a simpler form
continueIfTrue <- function(mm=return()){
eval(mm)
}
What are you trying to accomplish by passing `return()` to a formal parameter?
Hi R users. I would like your help on the following strange, to me,
behavior of the package "survMisc".
I have a simple routine, the following:
proc<-function(){
rm(list=ls())
library(survMisc)
d<-read.table("C:\\Program
Files\\R\\Data\\Survival\\HosmLem.txt",fill=TRUE,header=TRUE)
d4<-as.
On Mar 16, 2015, at 5:05 PM, Saptarshi Guha wrote:
> Example was complicated, but here is a simpler form
>
> continueIfTrue <- function(mm=return()){
>eval(mm)
> }
What are you trying to accomplish by passing `return()` to a formal parameter?
> telemStats <- function(){
>y <- substitu
You need to set the shape manually
library(ggplot2)
n <- 200
dataset <- data.frame(
Type = sample(c("A", "B"), n, replace = TRUE),
Value = rnorm(n)
)
ggplot(dataset, aes(x = Type, y = Value)) + geom_boxplot() +
geom_jitter(aes(shape = Type)) + scale_shape_manual(values = c(1, 19))
ir. Thierr
Hi,
I am trying to create a boxplot (with geom_jitter) such that the points
from one set of values are shown as circles, and the second set of points
also as circles, but with no fill. In other words, how can I control the
shape and color for the points appearing in this boxplot?
===
library(
Sorry for that Rolf,
Yes, it perfectly works.
Many thanks. Cheers,
- Mail original -
De : Rolf Turner
À : varin sacha
Cc : R help
Envoyé le : Mardi 17 mars 2015 12h40
Objet : Re: [R] Add the Gauss curve on histogram
Please keep your replies on-list. I am not your private consul
Please keep your replies on-list. I am not your private consultant.
Not, at least, until you start paying me!!!
Again your example is not reproducible. WTF makes you think I have
access to the file
"/Users/Caro/Desktop/Mesures d'association using R/test.txt" ???
I have no idea what
Hi Jeff,
Here is I hope a reproducible code.
My R code gives something but not what I am expecting. Indeed, I am expecting a
gauss curve and I get a straight line.
I have followed the advices of Rolf as well but I still don't get a gauss
curve...
Thanks for your time
Dataset <- read.table("/User
Dear Brian,
You want
data$CompLab <- interaction(data$Compound, data$Lab)
lme ( data=data, Resp ~ Lab * Compound,
random = list(CombLab = ~ 1, Date = pdIdent(~0 + Lab)) ,
weights = varIdent(form=~1|Lab)
)
Note that this is untested since you didn't provide a reproducible example.
However
Thank you Prof. Brian Ripley. I'm writing a mail to glasso maintainer. Let
me see if I could get some help from them.
Regards
Srikanth.
On Mon, 16 Mar 2015 at 19:21 Prof Brian Ripley
wrote:
> On 16/03/2015 10:38, Srikanth Gumma wrote:
> > Hi,
> >
> > I'm trying to install diveRsity package in o
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