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
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,
Thank you for the email.
What is the default n?
Thanks!
On Tuesday, March 17, 2015 4:06 PM, William Dunlap wdun...@tibco.com
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
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 result
Dear Brian,
You want
data$CompLab - interaction(data$Compound, data$Lab)
lme ( data=data, Resp ~ Lab * Compound,
random = list(CombLab = ~ 1, Date = pdIdent(~0 + Lab)) ,
weights = varIdent(form=~1|Lab)
)
Note that this is untested since you didn't provide a reproducible example.
Thank you Prof. Brian Ripley. I'm writing a mail to glasso maintainer. Let
me see if I could get some help from them.
Regards
Srikanth.
On Mon, 16 Mar 2015 at 19:21 Prof Brian Ripley rip...@stats.ox.ac.uk
wrote:
On 16/03/2015 10:38, Srikanth Gumma wrote:
Hi,
I'm trying to install
On 16-03-2015, at 23:08, Saptarshi Guha saptarshi.g...@gmail.com wrote:
Hello,
I would like a function X to return to the place that called the
function XParent that called this function X.
Y calls XParent
Y = function(){
XParent()
print(hello)
}
XParent calls X
XParent =
Increasing the value of 'n' given to density will give an estimate at more
points so it will look smoother. Try n=2^18.
Bill Dunlap
TIBCO Software
wdunlap tibco.com
On Tue, Mar 17, 2015 at 12:06 PM, Fix Ace ace...@rocketmail.com wrote:
I have a dataset with 6187 elements, ranged from 3 to
?duplicated --JIV
On Wednesday, March 18, 2015, David Contreras davidcontrera...@gmail.com
wrote:
Buen d�a,
Necesito quitar filas duplicadas dentro de una matriz, estaba usando la
funci�n unique pero �sta no lleva a cabo el proceso que requiero, para
ilustrar un poco m�s lo que requiero,
I have a dataset with 6187 elements, ranged from 3 to 104028. When I tried to
examine only small range of data, I found that the plot was not smooth (as
shown below):
plot(density(test$V2), xlim=c(0,1000))
Is there away to make it smoother?
Thanks a lot!!
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)
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?
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, window = kernel,
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)
}
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?
Perhaps read ?try
---
Jeff NewmillerThe . . Go Live...
DCN:jdnew...@dcn.davis.ca.usBasics: ##.#. ##.#. Live Go...
Live: OO#..
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
On 18/03/15 13:22, Bert Gunter wrote:
With all due respect:
I don't think much respect is due.
SNIP
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
Buen día,
Necesito quitar filas duplicadas dentro de una matriz, estaba usando la
función unique pero ésta no lleva a cabo el proceso que requiero, para
ilustrar un poco más lo que requiero, por ejemplo:
Tengo la matriz A, que contiene 3 filas y 8 columnas:
0 1 0 1 0 1 0 1
1 1 1 1 1 1 0 0
0 1 0
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 -
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
Sorry for that Rolf,
Yes, it perfectly works.
Many thanks. Cheers,
- Mail original -
De : Rolf Turner r.tur...@auckland.ac.nz
À : varin sacha varinsa...@yahoo.fr
Cc : R help R-help@r-project.org
Envoyé le : Mardi 17 mars 2015 12h40
Objet : Re: [R] Add the Gauss curve on histogram
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?
===
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. Thierry
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 -
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