On Sun, Sep 29, 2013 at 10:48 PM, john doe anon.r.u...@gmail.com wrote:
I am having trouble understanding how classes in R work. Here is a small
reproducable example:
x=1
class(x)
[1] numeric
OK. When a variable is a number, its class is numeric. Does R have
multiple types for numbers,
Hi, does anybody know how to get a barplot with the x axis starting in the
right side and the y axis in the right side too?
An example:
dat=c(2,4,0,6,5)
names(dat)=paste('dpt.',1:5,sep='')
barplot(dat, horiz=T)
box()
I need this barplot in mirror, with the zero value to 6 starting in the
right
I have been trying to download the climstats package:
https://r-forge.r-project.org/R/?group_id=861
but it doesn't seem to run on R 3.0.2 or 3.0.1 and the zipfile is empty.
Does anyone know the status of this package or where I can download it.
Thanks
**
Jenny Williams
Spatial
On 09/30/2013 07:47 PM, Juan Andres Hernandez wrote:
Hi, does anybody know how to get a barplot with the x axis starting in the
right side and the y axis in the right side too?
An example:
dat=c(2,4,0,6,5)
names(dat)=paste('dpt.',1:5,sep='')
barplot(dat, horiz=T)
box()
I need this barplot in
To elaborate on Frank's response, the analysis plan of
1. Look at the data and select important variables
2. Put that truncated list into your favorite statistic procedure
3. Ask - are the p-values (c-statistic, coefficients, .) reliable?
is a very old plan. The answer to the last
Hello,
I want to do pairwise calculation, but I am not sure how to do so.
i.e. I have a correlation matrix M 200*200. Namely colnames(M)=rownames(M).
In addition, colnames(M) is one of A, B, C, D. I want to first sort the
matrix M into 16 modules according to colnames and rownames, and then
Hello,
i'm currently working with the 'garch' function provided by the 'tseries'
package in R.
If you want to fit a time series you can call the function this way
fit = garch(data, order=c(1,1)).
A GARCH model delivers you a vector of sd's sigma and therefore confidence
intervals for your data.
Dear R-users
I am trying to replace specific factor level values in a data frame
with NAs. The data frame includes different kind of variables (e.g,
characters, numbers, and factors). I'd like to replace all 'Not
applicable', 'Invalid', 'and Missing' for NA.
For example:
f.level - c('Yes',
hey guys,
I wanna make a simple barplot, looking like this excel graph:
http://r.789695.n4.nabble.com/file/n4677251/barplot_invertebrates.jpg
my data set includes 9 groups of invertebrates (x-axes) and total number
(y-axes) from two different parks (1 and 2).
my data-set looks like that:
Consider the following:
par(mar=c(0,0,0,0),xaxs = 'i',yaxs='i')
plot.new()
for(i in 1:20)
{
z - matrix(runif(256*256), ncol=256)
dev.hold()
image(z, col=grey(0:255/255),zlim=c(0,1),useRaster=TRUE)
dev.flush()
Sys.sleep(.1)
}
I would like to continuously display the animation until
Hi guys,
I'm new to Random Forest package and I'd like to know what type of split is
used in the package for classification? Or can I configure the package to use
different split type (like simple split alongside single attribute axis or
linear split based on several attributes etc..)
Thanks
i want to compare two exchange rate models namely balassa samuelson model n
monetary model of exchange rate.but i don't know how??because both models
are different n dependent variables are also different from each
other...plz help me in my research work n tell me which econometric
technique is
On Windows or X11, (others ???)
?getGraphicsEvent
Cheers,
Bert
On Mon, Sep 30, 2013 at 7:46 AM, Stanislav Aggerwal
stan.agger...@gmail.com wrote:
Consider the following:
par(mar=c(0,0,0,0),xaxs = 'i',yaxs='i')
plot.new()
for(i in 1:20)
{
z - matrix(runif(256*256), ncol=256)
1. This is an r-help list, not a statistics or econometrics list. So
you need to post elsewhere.
2. However, having said that, you might find that the CRAN
Econometrics task view may be useful.
http://cran.r-project.org/web/views/Econometrics.html
Cheers,
Bert
On Mon, Sep 30, 2013 at 4:13 AM,
On 29 September 2013 19:17, Aya Anas aa...@feps.edu.eg wrote:
doesn't make sense at all. I got parameters that don't satisfy the
constraint. In addition, when i substituted with the resulting parameters
Maybe you have issues with your interpretation of the usage of the package and
expected
Hello,
A possibility is the following.
icol - sapply(df, is.factor)
df[icol] - lapply(df[icol], function(x){
x[as.character(x) %in% c('Not applicable', 'Invalid', 'Missing')] - NA
x})
Hope this helps,
Rui Barradas
Em 30-09-2013 10:42, Daniel Caro escreveu:
Dear R-users
Hello,
To know how something in R is computed, download the sources and read
the respective function code.
That's one of the benefits of open source software, you can know exactly
what is going on.
Hope this helps,
Rui Barradas
Em 30-09-2013 10:31, ZuckerRahmen escreveu:
Hello,
i'm
Well, maybe or maybe not. The problem is that the old factor levels
remain. Here's a tiny example that illustrates the issue:
z - factor(c(a,b,c))
z[as.character(z)==c] - NA
z
[1] abNA
Levels: a b c
Whether or how you wish to change this depends on what you are doing
with the data.
On Sep 30, 2013, at 3:25 AM, Jenny Williams wrote:
I have been trying to download the climstats package:
https://r-forge.r-project.org/R/?group_id=861
but it doesn't seem to run on R 3.0.2 or 3.0.1
What makes you say this? What errors are reprorted? (Doesn't seems to run is
a bit vague.)
On Sep 29, 2013, at 2:16 PM, E Joffe wrote:
HI,
Thank you for your answer.
There were 301 events out of 394 observations.
Study goals: Identify proteins with prognostic power in patients with AML.
There were 232 proteins studied.
Traditional models won't converge.
I wanted to do a
Hello,
I recently installed version 3.0.1 of R on to a computer. I
have a working installation for a Statconn application using R version
2.15.0 on another computer. I have many libraries under this old
installation. Can I just copy them into the new library from the old, or do
Some code that you can look at for examples of capturing the mouse position
without clicking include the playSudoku function in the sudoku package and
several functions in the TeachingDemos package including HWidentify,
HTKidentify, dynIdentify, and TkIdentify.
On Mon, Sep 30, 2013 at 8:46 AM,
Hi,
On Mon, Sep 30, 2013 at 11:12 AM, Cem Girit gi...@comcast.net wrote:
Hello,
I recently installed version 3.0.1 of R on to a computer. I
have a working installation for a Statconn application using R version
2.15.0 on another computer. I have many libraries under this
Can any of the tools available provide where the supremum happens?
So classically D = sup|F1 - F2| or something to that affect, and then we use
D to figure out significance.
If the ecdf is to be read as y=Pr(xx_i), for each x_i , well at which x_i
does D occur?
Sorry for the repetition just
Very good question -- sorry to have left that info out of my posting.
windows()
Thanks for any help.
Bill
On Mon, Sep 30, 2013 at 4:46 PM, Bert Gunter gunter.ber...@gene.com wrote:
On Windows or X11, (others ???)
?getGraphicsEvent
Cheers,
Bert
On Mon, Sep 30, 2013 at 7:46 AM,
If the ecdf is to be read as y=Pr(xx_i), for each x_i , well at which x_i
does D occur?
The definition is Pr(x = x_i), but that doesn't matter much here.
You know the maximum occurs at one of the points in union(x, y) so
you can find it by comparing the ecdf's at each of those points:
f -
thanks Greg
Bill
On Monday, September 30, 2013, Greg Snow 538...@gmail.com wrote:
Some code that you can look at for examples of capturing the mouse
position without clicking include the playSudoku function in the sudoku
package and several functions in the TeachingDemos package including
In this case the OP probably does need to reinstall contributed
packages since going from 2.15.x to 3.0.y entails a major version
change in R.
Dennis
On Mon, Sep 30, 2013 at 11:49 AM, Steve Lianoglou
lianoglou.st...@gene.com wrote:
Hi,
On Mon, Sep 30, 2013 at 11:12 AM, Cem Girit
On Mon, Sep 30, 2013 at 2:49 PM, Steve Lianoglou
lianoglou.st...@gene.com wrote:
Hi,
On Mon, Sep 30, 2013 at 11:12 AM, Cem Girit gi...@comcast.net wrote:
Hello,
I recently installed version 3.0.1 of R on to a computer. I
have a working installation for a Statconn
sweet, I didn't know ecdf could be use like that!
Thanks!
--
View this message in context:
http://r.789695.n4.nabble.com/ks-test-or-other-Kolmogorov-Smirnov-code-tp4677290p4677306.html
Sent from the R help mailing list archive at Nabble.com.
__
Look at the example for grouped bar plots here,
http://www.statmethods.net/graphs/bar.html
Jean
On Mon, Sep 30, 2013 at 8:05 AM, happyR tobi_gebetsber...@gmx.at wrote:
hey guys,
I wanna make a simple barplot, looking like this excel graph:
Amanda,
If I understand what you're trying to do, this example might help you.
M - structure(c(0.66, 0.05, -0.93, -0.61, 0.65, -0.25, 0.23, -0.89,
0.37, 0.38, -0.91, 0.91, -0.05, -0.65, -0.94, 0.73, -0.88, 0.25,
0.04, -0.89, -0.47, -0.46, 0.86, -0.29, 0.92, 0.22, 0.77, -0.98,
-0.56, 0.11,
I have an example of multilevel analysis with 3 levels, but data are
non-normally distributed. In case of normal distribution, I would perform
multilevel linear analysis using lme function, but what should I do in case
of non-normal distribution?
thanks,
Srecko
[[alternative HTML version
Hi,
On Mon, Sep 30, 2013 at 12:44 PM, Ista Zahn istaz...@gmail.com wrote:
On Mon, Sep 30, 2013 at 2:49 PM, Steve Lianoglou
lianoglou.st...@gene.com wrote:
Hi,
On Mon, Sep 30, 2013 at 11:12 AM, Cem Girit gi...@comcast.net wrote:
Hello,
I recently installed version 3.0.1
On Sep 30, 2013, at 2:50 PM, srecko joksimovic wrote:
I have an example of multilevel analysis with 3 levels, but data are
non-normally distributed. In case of normal distribution, I would perform
multilevel linear analysis using lme function, but what should I do in case
of non-normal
I thought so, but then I found this:
Normality
The assumption of normality states that the error terms at every level of
the model are normally distributed
maybe I misinterpreted something.
On Mon, Sep 30, 2013 at 3:06 PM, David Winsemius dwinsem...@comcast.netwrote:
On Sep 30, 2013, at
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org]
On Behalf Of srecko joksimovic
Sent: Monday, September 30, 2013 3:22 PM
To: David Winsemius
Cc: R help
Subject: Re: [R] multilevel analysis
I thought so, but then I found this:
On Sep 30, 2013, at 3:22 PM, srecko joksimovic wrote:
I thought so, but then I found this:
Normality
The assumption of normality states that the error terms at every level of the
model are normally distributed
maybe I misinterpreted something.
Notice that it is the _error_terms_ that are
Thanks for your comments, David and Bert.
The best would be to provide an example. Let's say we have a dataset like
this one:
IDEmployee Company OU CountViewPortal CountLogin TimeOnTask Performance
1 Company1 Company1.OU1 21 33 627.8 4.3
2 Company1 Company1.OU2 45 54 34.8 2.3
3 Company2
Dear fellows,
The two questions are on sm.density.compare(). I compare kernel density
estimates of two arrays of data.
I'd like to scale up y-axis so that I can show better the differences in
y values. English is not my first language so I'll try to explain it. I
would like to stretch
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