Thanks,
that helped!
Yours,
Kay
Zitat von Gene Leynes gleyne...@gmail.com:
I think that people are afraid to say You can't do that in R...
But I think the real answer is: you can't do that in R.
Although, it is helpful to understand Jeff's reply. I hadn't fully
realized why this particular
I am using 'tm' package for text mining. I use the function findFreqTerms to
obtain the frequent words based on their frequency in the term document
matrix.
The following is the example given in the help page of this function:
library(tm)
data(crude)
tdm - TermDocumentMatrix(crude)
On 09.11.2011 04:42, Dan Zhou wrote:
Hi,
So I have everything written out. I used R-studio (same as R console
but with an IDE) and I had no trouble calling upon and opening the csv
file for computation.
However, when I try to run my code in plain old R, it says that the
file could not be
I would like to add vertical shaded blocks in plot.xts graphs (like recession
periods in FRED graphs)
The reason I use plot.xts instead of plot.zoo is that I like the fact that
the grid is automatically aligned with major ticks in plot.xts.
xblocks() and rect() do not seem to work with plot.xts
Hi,
Please read Time series Econometrics books and you will find out that
acf and pacf are not to be used to determine whether or not a series is
stationary. The question of nonstationarity or stationarity of a series
is answered using the formal tests comprising ADF, PP, KPSS, etc.
I will let
Hello,
I'm attempting to install the splm package from R-Forge.
https://r-forge.r-project.org/R/?group_id=352
The page says, In order to successfully install the packages provided on
R-Forge, you have to switch to the most recent version of R... It later
says To install this package directly
On Wed, Nov 9, 2011 at 4:33 AM, thierrydb thierr...@gmail.com wrote:
I would like to add vertical shaded blocks in plot.xts graphs (like recession
periods in FRED graphs)
The reason I use plot.xts instead of plot.zoo is that I like the fact that
the grid is automatically aligned with major
Dear useRs,
This is the first time I post to this list and I would appreciate any
help available. I've used the excellent mgcv package for a while now
to investigate geographical patterns of language variation, and it has
has always worked without any problems for me. The problem below
occurs
Kilometres has only 5 unique values, while Bonus has only 7, but the
default smoothing basis dimension for the s terms is 10, so there is a
problem. Solution is to reduce the basis dimension. e.g.
amgam - gam(log(Payment) ~ offset(log(Insured))+
+ s(as.numeric(Kilometres),k=5) + s(Bonus,k=7) +
On 11/08/2011 11:57 AM, Gyanendra Pokharel wrote:
Hi R community!
I am analyzing the data set motorins in the package faraway by using
the generalized additive model. it shows the following error. Can some one
suggest me the right way?
library(faraway)
data(motorins)
motori-
Martijn,
Thanks for this. It's a bug. The p-value computation involves model
matrices for each `smooth' term (in your case actually a random effect).
When the data set is large, then random sub-sampling of the data is used
to keep the computational cost of these model matrices down. This is
The Windows binary seems not to be there. Since this is a development
platform and there may be various reasons a binary does currently not
exist, you could install the package from source,
just add the argument type=source in your call to install.packages().
How to prepare your environment
Thank you.
I am glad I asked. It wasn't giving answers that I expected and now I
know why.
Rather than pull in another package just for this functionality, I will
just reassign the frequency by generating a new time series like:
dswin - window(ds, start=..., end=...)
dswin - ts(dswin,
Hi Uwe,
Thanks for your response. I tried your suggestion and got the following
error message:
install.packages(splm,
repos=http://R-Forge.R-project.org,type=source;)
Warning message:
In getDependencies(pkgs, dependencies, available, lib) :
package 'splm' is not available
I have downloaded
On 09.11.2011 15:15, Downey, Patrick wrote:
Hi Uwe,
Thanks for your response. I tried your suggestion and got the following
error message:
install.packages(splm,
repos=http://R-Forge.R-project.org,type=source;)
Warning message:
In getDependencies(pkgs, dependencies, available, lib) :
I'm sorry. I made a mistake. I accidentally had 2 versions of R open and
got that error message from R-2.10. When I correctly enter the commands you
suggest into R-2.14 I get the same as you.
However, my installation is filled with errors. I assume the following
means that I should install each
Hello,
I very general question but probably usefull to others as well:
Is there any prebuild function that reorders a dataframe from:
x1x2
1 100 200
2 101 201
3 102 202
4 103 203
5 104 204
6 105 205
to
1 100 x1
2 101 x1
3 102 x1
4 103 x1
5 104 x1
6 105 x1
Yes, that will definitely create a time series with the desired
frequency, though the actual time index won't correspond to the
original so you may need to exercise a little bit of caution in
interpreting the outputs of ets().
Glad this could help,
Michael
On Wed, Nov 9, 2011 at 9:15 AM,
df = data.frame(x1 = 100:105, x2 = 200:205)
library(reshape2)
melt(df)
Michael
On Wed, Nov 9, 2011 at 10:14 AM, Johannes Radinger jradin...@gmx.at wrote:
Hello,
I very general question but probably usefull to others as well:
Is there any prebuild function that reorders a dataframe from:
On Nov 9, 2011, at 10:14 AM, Johannes Radinger wrote:
Hello,
I very general question but probably usefull to others as well:
Is there any prebuild function that reorders a dataframe from:
x1x2
1 100 200
2 101 201
3 102 202
4 103 203
5 104 204
6 105 205
to
1 100
jim holtman jholtman at gmail.com writes:
...
Thanks Jim,
very useful your information,
Sergio.
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R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide
Dear R-Users,
I have a problem with an algorithm that iteratively goes over a data.frame and
exclude n-columns each step based on a statistical criterion.
So that the 'column-space' gets smaller and smaller with each iteration (like
when you do stepwise regression).
The problem is that in
I tried Googling for help on this problem, but what I saw only increased my
puzzlement.
I found a lovely bit of code called esplot() that makes scatterplots with
associated histograms and rug plots. I have been trying to use it on my own
data, but the viewport routine on which it depends (I
Perhaps attach placeholder names to your columns and use those rather
than indices?
Michael
On Wed, Nov 9, 2011 at 10:36 AM, Martin Batholdy
batho...@googlemail.com wrote:
Dear R-Users,
I have a problem with an algorithm that iteratively goes over a data.frame
and exclude n-columns each
As Uwe said, you need to read the fine manual and set up your system to be able
to compile source packages. On Windows that essentially means installing Rtools
and Miktek, and configuring some environment variables.
---
Jeff
On Wed, Nov 9, 2011 at 11:08 AM, Jeff Newmiller
jdnew...@dcn.davis.ca.us wrote:
As Uwe said, you need to read the fine manual and set up your system to be
able to compile source packages. On Windows that essentially means installing
Rtools and Miktek, and configuring some environment
Try
data[,!names(data) %in% names(col_means)]
On Wed, 9 Nov 2011, Martin Batholdy wrote:
Dear R-Users,
I have a problem with an algorithm that iteratively goes over a data.frame and
exclude n-columns each step based on a statistical criterion.
So that the 'column-space' gets smaller and
I would appreciate pointers on what I should read to understand this
output:
summary(lm(TDS ~ Cond + Ca + Cl + Mg + Na + SO4))
Call:
lm(formula = TDS ~ Cond + Ca + Cl + Mg + Na + SO4)
Residuals:
ALL 1 residuals are 0: no residual degrees of freedom!
Coefficients: (6 not defined because of
Please see ?dput
use dput(your data) and paste the output into a reply, thanks.
This way we know what you are working with.
Rich Shepard wrote:
I would appreciate pointers on what I should read to understand this
output:
summary(lm(TDS ~ Cond + Ca + Cl + Mg + Na + SO4))
Call:
On Nov 9, 2011, at 12:04 PM, Rich Shepard wrote:
I would appreciate pointers on what I should read to understand this
output:
summary(lm(TDS ~ Cond + Ca + Cl + Mg + Na + SO4))
I don't see a data= argument specified, so you are telling lm() that
your workspace has individual vectors by
Forgive me if I'm posting to the wrong placeIt's my first time posting.
Here's the situation: I'm using the sem package and making path
diagrams using path.diagrams. Suppose I have the following code:
#install.packages(ggm)
require(ggm)
cor = rcorr(7)
nm = c(SOF, IWF, PWF, FSC, FSF, EF, GPA)
On Wed, 9 Nov 2011, David Winsemius wrote:
I don't see a data= argument specified, so you are telling lm() that your
workspace has individual vectors by those names in the formula. That is
not what is implied by hte rest of your message.
David,
That's because I attached the data frame
Hi to all,
i have a data set of international airports with latitude, longitude and
altitude. I was thinking of creating a 3D plot out of them, but haven't
succeeded yet.
With
plot3d(x=seq(min(traffic$lon),max(traffic$lon)),y=seq(min(traffic$lat),max(traffic$lat)),z=traffic$alt)
all i get is
Hello all,
I'm a beginner in R working on a script that will produce a set of models
(linear, polynomial and logistic) for each location in a dataset. However,
the self-starting logistic model often fails - if this happens I would like
to just skip to the next iteration of the loop using
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org]
On Behalf Of Rich Shepard
Sent: Wednesday, November 09, 2011 9:05 AM
To: r-help@r-project.org
Subject: [R] Interpreting Multiple Linear Regression Summary
I would appreciate pointers
Hi,
On Wed, Nov 9, 2011 at 11:56 AM, Michal Zimmermann zimm...@gmail.com wrote:
Hi to all,
i have a data set of international airports with latitude, longitude and
altitude. I was thinking of creating a 3D plot out of them, but haven't
succeeded yet.
With
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org]
On Behalf Of Rich Shepard
Sent: Wednesday, November 09, 2011 9:42 AM
To: r-help@r-project.org
Subject: Re: [R] Interpreting Multiple Linear Regression Summary
On Wed, 9 Nov 2011, David
Two things:
1) It sounds like you are right in thinking there's something funny
about your particular data: could you provide it to us? The easiest
way to do so is to use dput() to get a plain text representation ready
for copy and paste.
2) What is esplot()? It's not in base R, but I imagine
Dear Dustin,
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
project.org] On Behalf Of Dustin Fife
Sent: November-09-11 10:57 AM
To: r-help@r-project.org
Subject: [R] path.diagram in SEM--display covariances without variances
Forgive me if I'm
Thanks for the quick response...I've never edited someone else's
package before. How do I go about doing that?
On Wed, Nov 9, 2011 at 12:47 PM, John Fox j...@mcmaster.ca wrote:
Dear Dustin,
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
project.org]
On Wed, 9 Nov 2011, Daniel Nordlund wrote:
I would guess that there is something problematic with the how the data
frame is structured relative to what lm() is expecting.
Dan,
I was not comfortable with my explanation, but the formula (and data
frame) was equivalent to those of the other 8
On Nov 9, 2011, at 1:17 PM, Rich Shepard wrote:
On Wed, 9 Nov 2011, Daniel Nordlund wrote:
I would guess that there is something problematic with the how the data
frame is structured relative to what lm() is expecting.
Dan,
I was not comfortable with my explanation, but the formula
Hi everyone,
Does anyone know if there is a package to compute raking weights using
R? What I need is to create a variable with weights base in some
demographic variables (e.g. sexo, age group, area) using the raking
procedure.
Thank you in advance!
--
Sebastián Daza
I have got following error in drawing wavelet fitting. can some one help?
library(faraway)
data(lidar)
newlidar-lidar[c(1:128),]
library(wavethresh)
wds - wd(newlidar$logratio)
draw(wds)
Error in plot.default(x = x, y = zwr, main = main, sub = sub, xlab = xlab,
:
formal argument type
On Nov 9, 2011, at 2:17 PM, Rich Shepard wrote:
On Wed, 9 Nov 2011, Daniel Nordlund wrote:
I would guess that there is something problematic with the how the
data
frame is structured relative to what lm() is expecting.
Dan,
I was not comfortable with my explanation, but the formula
As far as I know if there is an NA in any variable in an observation
the default is to drop the entire observation. Thus there are no
observations in your calculation
Best Regards
John
On 9 November 2011 19:17, Rich Shepard rshep...@appl-ecosys.com wrote:
On Wed, 9 Nov 2011, Daniel Nordlund
Hello everyone,
I have a set of data, J healthy subjects, K diseased subjects, N
features for each person. I would like to clusterize my data. Since I
know that subjects are from two populations ideally I would prefer an
algorithm that first is able to discriminate them, in order to see how
it
On Wed, 9 Nov 2011, Marc Schwartz wrote:
# 'DF' is the result of copying your data above from the
# clipboard on OSX
DF - read.table(pipe(pbpaste), header = TRUE)
Marc,
Oh? I don't do Apple so there's no OSX here.
After removing incomplete records (any records with NA values) which is
On Wed, 9 Nov 2011, John C Frain wrote:
As far as I know if there is an NA in any variable in an observation the
default is to drop the entire observation. Thus there are no observations
in your calculation
John,
Hadn't realized that. I know there are NA's in other data frames that
yield
On Nov 9, 2011, at 2:27 PM, Sebastián Daza wrote:
Hi everyone,
Does anyone know if there is a package to compute raking weights using
R? What I need is to create a variable with weights base in some
demographic variables (e.g. sexo, age group, area) using the raking
procedure.
There is a
On 09-Nov-11 19:39:54, Rich Shepard wrote:
On Wed, 9 Nov 2011, John C Frain wrote:
As far as I know if there is an NA in any variable in an
observation the default is to drop the entire observation.
Thus there are no observations in your calculation
John,
Hadn't realized that. I know
Hello,
This is a pretty simple question, but after spending quite a bit of time
looking at Hmisc and using Google, I can't find the answer.
If I use stat_summary(fun.data=mean_cl_boot) in ggplot to generate 95%
confidence intervals, how many bootstrap iterations are preformed by
default? Can
I did. However, I am not sure that I can create a weight variable in
my database with the rake function you mention. That is why I am
asking.
El día 9 de noviembre de 2011 13:44, David Winsemius
dwinsem...@comcast.net escribió:
On Nov 9, 2011, at 2:27 PM, Sebastián Daza wrote:
Hi everyone,
It sounds like you want to do supervised classification, so maybe a supervised
classification algorithm would be more appropriate? Consider logistic
regression, rpart, ctree, earth, etc.
Andrew
-Original Message-
From: r-help-boun...@r-project.org
On Nov 9, 2011, at 3:07 PM, Sebastián Daza wrote:
I did. However, I am not sure that I can create a weight variable in
my database with the rake function you mention. That is why I am
asking.
Since you have provided absolutely no information about the data you
have or the problem you are
Never mind, I found it -- I had some NA values I didn't know about! I will
infer that viewport doesn't handle NA values gracefully! (If I'm wrong about
that and I've just missed something key, please correct me.)
Erin
-Original Message-
From: R. Michael Weylandt
Thanks for your quick response, Michael. That is indeed the script I was
talking about -- I didn't see it in a standard package, so I just copied it and
ran it as a standalone thing.
I'm afraid the data are proprietary (human subjects, health data) and so I
can't share them. I was able to
There is only one row with a complete set of observations; I think lm() is
throwing out the rest.
Rich Shepard wrote:
On Wed, 9 Nov 2011, John C Frain wrote:
As far as I know if there is an NA in any variable in an observation the
default is to drop the entire observation. Thus there are
This is the output of dput(your data)
structure(list(Ca = c(NA, NA, 24.4, NA, 21.4, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 28, 32, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, 34.7, NA, 42.5, NA, 26, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 0.6, 21.4, NA, 48.3,
On Nov 9, 2011, at 2:59 PM, Nathan Miller wrote:
Hello,
This is a pretty simple question, but after spending quite a bit of
time
looking at Hmisc and using Google, I can't find the answer.
If I use stat_summary(fun.data=mean_cl_boot) in ggplot to generate
95%
confidence intervals, how
David Winsemius dwinsemius at comcast.net writes:
On Nov 9, 2011, at 2:59 PM, Nathan Miller wrote:
Hello,
This is a pretty simple question, but after spending quite a bit of
time
looking at Hmisc and using Google, I can't find the answer.
If I use
On Nov 9, 2011, at 4:10 PM, David Winsemius wrote:
mean_cl_boot
OK. Things do change. Hadley has written a wrapper for some of the
Hmisc functions and you appear to be looking for smean.cl.boot()
(Note that Hadley's functions use _'s and Harrells use .'s. And
this could be found by
Sorry, I didn't realize I was being so obscure.
Within ggplot it is possible to use stat_summary() to generate confidence
intervals about a mean. One method for generating these CI assumes
normality. The other uses bootstrapping to generate the CI. I am using the
second method which requires code
Without a sample data set that fails the first pass and succeeds on the second
pass this is a pain to test.
Don't forget to read the posting guide... Reproducible sample code isn't too
reproducible without some specified data or autogenerated data.
Currently I have a for loop executing functions and at the end I get a
message like:
There were 50 or more warnings (use warnings() to see the first 50)
If I do what it says and type warnings(), I get 50 messages like:
2: In !is.na(x) !is.na(rowSums(xreg)) :
longer object length is not a
Dear list members,
I am starting to get acquainted with linux on a ubuntu 11.10 installation on an
external hard disk. I have just installed R and all the packages available in
the r-cran-* list. Now, I would like to get on with the installation of
packages like Deducer and Acinonyx. The former
On Thu, Nov 10, 2011 at 10:35 AM, rkevinbur...@charter.net wrote:
Currently I have a for loop executing functions and at the end I get a
message like:
There were 50 or more warnings (use warnings() to see the first 50)
If I do what it says and type warnings(), I get 50 messages like:
2:
Ok, I got it.
smean.cl.boot(x, conf.int=.95, B=1000, na.rm=TRUE, reps=FALSE)
Looks like its 1000.
Cool.
Thanks for the help,
Nate
On Wed, Nov 9, 2011 at 1:35 PM, Nathan Miller natemille...@gmail.comwrote:
Sorry, I didn't realize I was being so obscure.
Within ggplot it is possible to use
2011/11/10 Sebastián Daza sebastian.d...@gmail.com:
I did. However, I am not sure that I can create a weight variable in
my database with the rake function you mention. That is why I am
asking.
Yes, you can.
-thomas
--
Thomas Lumley
Professor of Biostatistics
University of Auckland
Hello,
I need to do kmeans clustering with hamming distance instead of
the euclidean.
The kmeans function only uses euclidean.
How can I do it?
Thank you
Rui
[[alternative HTML version deleted]]
__
R-help@r-project.org mailing list
On Nov 9, 2011, at 4:35 PM, Nathan Miller wrote:
Sorry, I didn't realize I was being so obscure.
Within ggplot it is possible to use stat_summary() to generate
confidence intervals about a mean. One method for generating these
CI assumes normality. The other uses bootstrapping to generate
On Nov 9, 2011, at 4:30 PM, Ben Bolker wrote:
David Winsemius dwinsemius at comcast.net writes:
On Nov 9, 2011, at 2:59 PM, Nathan Miller wrote:
Hello,
This is a pretty simple question, but after spending quite a bit of
time
looking at Hmisc and using Google, I can't find the answer.
If
I would like to extract the information criteria from an hlme object (lcmm
package). Would you please advise me on how to extract just the BIC
(AIC)?
On another topic, when I apply hlme (lcmm) and flexmix (flexmix package) to
the same data set, I get BIC values that suggest two different latent
Hi R people!
I have a directory of .csv files I would like to make into objects
then scatter plots. I have been having varying degrees of progress. I
was able
make an object of all files, loop through it, and make a pdf of the
last file I looped through. I kept renaming the pdf so instead
Dear Dustin,
-Original Message-
From: Dustin Fife [mailto:fife.dus...@gmail.com]
Sent: November-09-11 2:12 PM
To: John Fox
Cc: r-help@r-project.org
Subject: Re: [R] path.diagram in SEM--display covariances without
variances
Thanks for the quick response...I've never edited
On Nov 9, 2011, at 4:22 PM, Cynthia Lee Page wrote:
Hi R people!
I have a directory of .csv files I would like to make into objects
then scatter plots. I have been having varying degrees of progress.
I was able
make an object of all files, loop through it, and make a pdf of the
last
Hello,
Is there a web version of this R-Help user group (such as
the ones under Google Groups) such that
1. I can do a search on any topic over thousands of posts on R easily
and effectively
2. My mailbox do not overflow with emails so that I do not need to
Hi,
I have a weird thing I don¹t understand.
Here¹s what I did:
I read some data:
data=read.table(fileName²)
then I printed the data to the screen:
data
But it didn¹t finish:
lot¹s of data was written out, but not all of it...
Then it interrupted and said:
[ reached getOption(max.print) -- omitted
My apologies for not including some test data.
Attached is a sample dataset that fails with the first stateroute and works
with the second.
http://r.789695.n4.nabble.com/file/n4021696/testdata.csv testdata.csv
--
View this message in context:
On Nov 9, 2011, at 5:38 PM, Cem Girit wrote:
Hello,
Is there a web version of this R-Help user group
(such as
the ones under Google Groups) such that
There is Nabble. It's not going to make you any friends unless you
learn to post in plain text AND to include context
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
Behalf Of Thomas Lumley
Sent: Wednesday, November 09, 2011 1:53 PM
To: rkevinbur...@charter.net
Cc: r-help
Subject: Re: [R] Stack trace?
On Thu, Nov 10, 2011 at 10:35 AM,
Such a resource would no longer be R-help. You might like stackoverflow.
---
Jeff NewmillerThe . . Go Live...
DCN:jdnew...@dcn.davis.ca.usBasics: ##.#. ##.#. Live Go...
To Bill's suggestion for a stack trace on warnings:
Question: What would this do in situations where one might get, e.g. 100
warnings?
-- Bert
On Wed, Nov 9, 2011 at 3:08 PM, William Dunlap wdun...@tibco.com wrote:
-Original Message-
From: r-help-boun...@r-project.org
Perfect! Thanks for the help.
On Wed, Nov 9, 2011 at 4:27 PM, John Fox j...@mcmaster.ca wrote:
Dear Dustin,
-Original Message-
From: Dustin Fife [mailto:fife.dus...@gmail.com]
Sent: November-09-11 2:12 PM
To: John Fox
Cc: r-help@r-project.org
Subject: Re: [R] path.diagram in
If your loop is of the form
for(i in 1:n) {
doSomethingSafe()
x - doSomethingThatFailsSometimes()
doSomethingWithX(x) # cannot do this if previous line fails
doSomethingElseSafe()
}
and you want it to somehow recover when
doSomethingThatFailsSometimes() throws an error,
then change
Cem,
Thanks for your comments.
1. http://cran.r-project.org/ and select Search in the left-hand
panel.
2. Use a filter to funnel r-help into it's own area and review as
desired.
3. I find that there are many posts that have been quite
educational and have helped me with analyses.
4.
On 9 November 2011 15:24, Jeff Newmiller jdnew...@dcn.davis.ca.us wrote:
Such a resource would no longer be R-help. You might like stackoverflow.
Perhaps our man was looking for a searchable mail archive? If no one
has one, I can set one up pretty quickly. Just let me know... Thanks
in advance!
It will call recover() for each warning. When you exit recover()
the code continues on. This is handy if you expect the first warning
or two but are curious about the third. I'd expect that you could
reset options(warning.expression=NULL) when in recover() so
that recover() would not be called
For those who have the same question laterafter following John's
steps of extracting the function, I just replaced the line of code
that says:
if ((!ignore.double) || (heads[par] == 1))
with
if (((!ignore.double) || (heads[par] == 1)) variables[from[par]] !=
variables[to[par]])
That
Bert,
At the end of my previous message I mentioned tryCatch().
I should have said withCallingHandlers(). E.g.,
f - function() {
+ warning(Hmmm)
+ retval - c(1,2) + c(5,6,7) # warns about incompatible lengths in +
+ warning(Really?)
+ retval
+ }
great, thank you both!
On 09.11.2011, at 17:27, Jeff Newmiller wrote:
Try
data[,!names(data) %in% names(col_means)]
On Wed, 9 Nov 2011, Martin Batholdy wrote:
Dear R-Users,
I have a problem with an algorithm that iteratively goes over a data.frame
and exclude n-columns each
For all those that are interested.
To adjust the number of reps in the stat_summary() mean_cl_boot function
simply specify B to the number of bootstrap resamples. I set B to 2000
resamplings below.
stat_summary(fun.data=mean_cl_boot, geom=errorbar,width=0.1,colour =
red, B=2000 )
If you run
On Nov 9, 2011, at 5:40 PM, Hasan Diwan wrote:
On 9 November 2011 15:24, Jeff Newmiller jdnew...@dcn.davis.ca.us wrote:
Such a resource would no longer be R-help. You might like stackoverflow.
Perhaps our man was looking for a searchable mail archive? If no one
has one, I can set one up
Very nifty tricks re: getting recover on warnings. Thanks,
Michael
On Wed, Nov 9, 2011 at 7:11 PM, William Dunlap wdun...@tibco.com wrote:
Bert,
At the end of my previous message I mentioned tryCatch().
I should have said withCallingHandlers(). E.g.,
f - function() {
+ warning(Hmmm)
? options
options(max.print = Inf)
Michael
On Wed, Nov 9, 2011 at 4:48 PM, Sean Robert McGuffee
sean.mcguf...@gmail.com wrote:
Hi,
I have a weird thing I don¹t understand.
Here¹s what I did:
I read some data:
data=read.table(fileName²)
then I printed the data to the screen:
data
But it
Dear Lisa,
Here's a little CFA simulation of my own. I used the development version
2.1-0 of the sem package (on R-Forge) to allow equation-style specification
of the model, but you should get the same results with version 2.0-0:
--- snip
library(MASS) # for mvrnorm()
It sounds like something is going wrong in your data read -- the
warnings indicate that R probably isn't data to the plotting commands.
My totally off the wall guess is that if your data is coming by way of
excel, the commas are leading to your data becoming characters and
hence not plotting
Sorry for the rambling answer:
On Wed, Nov 9, 2011 at 8:28 PM, R. Michael Weylandt
michael.weyla...@gmail.com wrote:
It sounds like something is going wrong in your data read -- the
warnings indicate that R probably isn't data**
meant to say: getting numerical data.
to the plotting
Your code is not reproducible. Where is the lidar data coming from?
Michael
On Wed, Nov 9, 2011 at 2:29 PM, Gyanendra Pokharel
gyanendra.pokha...@gmail.com wrote:
I have got following error in drawing wavelet fitting. can some one help?
library(faraway)
data(lidar)
Perhaps the missing() command will help in regards to suggestion a.
I'd caution against b for obvious reasons, though I think
options(error = ) can get you that behavior (you'll have to figure
out what XXX is, I have never tried to lessen my error messages...)
Michael
On Tue, Nov 8, 2011 at
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