> %s\n", d == 1.0 ? "true" : "false");
> return 0;
> }
> bill@Bill-T490:~$ gcc a.c
> bill@Bill-T490:~$ ./a.out
> 0.4+0.3+0.2+0.1 -> 0.99989
> 0.4+0.3+0.2+0.1 == 1.0 -> false
>
> -Bill
>
> On Tue, Feb 1, 2022 at 7:01 PM N
Hello,
I found something strange and maybe I am going nuts but this does not make
sense:
> (0.4 + 0.2 + 0 + 0.3 + 0 + 0.1) > 1
[1] TRUE
I tried it on my mac M1 (R v4.1.2) and my Linux box (R v4.0.4). If I use
other values, it does not work (see below). It seems only that combination,
granted I
knitr from within an Rmarkdown document is a
> bad idea unless you are building using child documents. Try manipulating your
> markdown from an R file.
>
> On December 16, 2018 11:48:44 AM PST, Nathan Parsons
> wrote:
> >Goal: post from R to Wordpress installation on server
Goal: post from R to Wordpress installation on server.
Problem: R keeps returning the error “Error in parse_block(g[-1],
g[1], params.src) : duplicate label 'setup’” if error = FALSE in the
knitr options or in an r chunk. It works fine if error = TRUE. I could
just go through each post each time a
h terms have been found, and returns a
logical
srchr <- function(df) {
str_detect(df, "olympic") -> a
str_detect(df, "technique") -> b
str_detect(df, "lifts") -> c
ifelse(a == TRUE & b == TRUE & c == TRUE, TRUE, FALSE)
}
## Evaluate tweets f
;,
"Large Fringe Metro", "Large Central Metro", "Large Central Metro",
"NonCore (Nonmetro)", "Large Central Metro"), urban_code = c(3L,
2L, 1L, 1L, 6L, 1L), population = c(277308L, 184029L, 830781L,
1160433L, 4160L, 9509611L)), class =
Thanks all for your patience. Here’s a second go that is perhaps more
explicative of what it is I am trying to accomplish (and hopefully in plain
text form)...
I’m using the following packages: tidyverse, purrr, tidytext
I have a number of tweets in the following form:
th <- structure(list(st
to answer your question. Please see
> https://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example
> and follow some of the suggestions you find there to make it easier on
> those who want to help you.
>
> Best,
> Ista
> On Mon, Oct 15, 2018
I’m attempting to do some content analysis on a few million tweets, but I can’t
seem to get them cleaned correctly.
I’m trying to replicate the process outlined here:
https://stackoverflow.com/questions/46734501/opposite-of-unnest-tokens
My code:
tweets %>%
unnest_tokens(word, text, token = '
Please post both the code you are using and the error, Abigail.
Nate
On Oct 9, 2018, 11:59 AM -0700, Friedman, Abigail ,
wrote:
> I keep getting error messages when running my data frame code and I cannot
> figure out what I am doing wrong.
>
>
> [[alternative HTML version deleted]]
>
>
To the R Project:
I am using R Studio and I need help sum product exponents with R Script. Every
time I type at the very start in the R Script window like 25* 30 nothing
happens. Where can I go to find the complete commands for basic functions in
the r script window?
Sincerely,
Nathan
l"), ...)
}
And then call
ggplot(data = SSI.dt, aes(x = elapsed, y = 1 - control)) + geom_point() +
binomial_smooth()
Everything is now working smoothly.
Nathan
-Original Message-
From: David Winsemius
Date: Wednesday, June 29, 2016 at 16:10
To: Nathan L Pace
Cc: "r-
sted my call as the correct
syntax structure.
I’d appreciate thoughts/pointers.
Nathan
--
Nathan Pace, MD, MStat
Department of Anesthesiology
University of Utah
801.581.6393
n.l.p...@utah.edu
__
R-help@r-project.org mailing list -- To UNSUBSCRI
ect[[i]]$x,
y = do object[[i]]$smoothed
y)))
}
This takes about 100 minutes.
Any guidance for a faster (more elegant?) solution will be appreciated.
Nathan
__
R-help@r-project.org mailing list --
y = T, model = T, nboot = 1000))
| | 1% ~40 m remaining
Error in if (any(tied)) { : missing value where TRUE/FALSE needed
This error does not occur and the function call completes if nboot = 0.
Nathan
> sessionInfo()
R version 3.
ta.table(Anesthetic =
"Iso")) :
object 'yhat' not found
> predict(Des.Iso.ATE.lqm, newdata = data.frame(Anesthetic = factor('Iso',
>levels=levels(Des.Iso.dt$Anesthetic
Error in predict.lqm(Des.Iso.ATE.lqm, newdata = data.frame(Anestheti
Here are the model outputs.
Nathan
Survey package
ca.ATE.design <- svydesign(ids = ~ id, weights = ~ get.weights(ca.ATE.ps,
stop.method = 'ks.mean'), data = ca.dt)
Independent Sampling design (with replacement)
svydesign(ids = ~id, weights = ~get.weights(ca.ATE.ps, stop.meth
with
svycoxph estimates.
There is a note in the svycoxph help page stating the SEs should agree
closely unless the model fits poorly.
Are there other reasons for the differences?
Nathan
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman
I appreciate the several replies.
efac = 2 had already been set in the forest call.
Adding lwd = 2 in the forest call has improved the visibility of the
credibility interval.
Nathan
-Original Message-
From: "Viechtbauer Wolfgang (STAT)"
Date: Wednesday, February 12, 20
whiskers of the credibility interval are too faint.
I need help on the argument(s) to widen the credibility interval dots and
whiskers.
I have looked at the forest.default function, but dont see anything obvious to
me.
Nathan
--
Nathan Pace, MD, MStat
Department of Anesthesiology
University of
ble_1.8.10
loaded via a namespace (and not attached):
[1] cluster_1.14.4 MASS_7.3-29nnet_7.3-7 tools_3.0.2
I¹ve looked at the sensuc code.
I can¹t understand the error message.
Nathan
--
Nathan Pace, MD, MStat
Department of Anesthesiology
University of Utah
801.581.63
described case.
Any thoughts why I should load the libraries first? I already tried to
recompile the C functions with different names to be sure there are not
somehow erased by the C functions in the libraries, but it didn't help.
On Thu, Jan 30, 2014 at 8:46 AM, Nathan Uyttendaele wrote:
e trying again (maybe there was some
> data hanging around that helped out). It is not unknown to get
> different results if you are having to access, especially, external
> data.
>
> Jim Holtman
> Data Munger Guru
>
> What is the problem that you are trying to solve?
Hello,
when I run this code in a brand new R session
--
### loading of libraries and other functions
Rprof("profiling.out")
start.time=proc.time()[3]
for(i in 1:50) {
main.function()
}
end.time=proc.time()[3]
Rprof()
---
Answered my own question.
In survey, summary does it.
On 2312//2013, 5:31 PM, "Nathan Pace" wrote:
>
>>The svycoxph function in the survey package loads the survival package
>>and
>>produces objects of class svycoxph and coxph.
>>
>>The print.co
ments in print(predict(svycoxph.object, se = T,
>type = ?)), but without returning the CIs.
>
>Any suggestions on the correct syntax will be appreciated.
>
>Nathan
>
>--
>Nathan Pace, MD, MStat
>Department of Anesthesiology
>University of Utah
>801.581.6393
>
I am trying to create my own color pallet, consisting of 18 hexadecimal
colors. I'm having trouble figuring out what to use to define/display
them. ColorRampPallet can only take 3 colors so I was hoping to somehow
create a palette then point to that pallet. Any suggestions? Thanks
--
N
Check the mada package for a bivariate approach to sensitivity/specificity.
Check the metafor package if trying only to do a meta analysis of a
proportion.
Nathan
On 4/8/13 12:51 PM, "array chip" wrote:
>Hi all, I am new to meta-analysis. Is there any special package that c
Thanks for your example Peter.
It does seem like one means of getting the job done and if I'm unable to
figure out a means with zoo::rollapply I may follow your example.
Hopefully someone else can chime in.
Thanks,
Nate
---
Nathan A. Miller
Ro
Hello,
I have a challenge!
I have a large dataset with three columns, "date","temp", "location".
"date" is in the format %m/%d/%y %H:%M, with a "temp" recorded every 10
minutes. These temperatures of surface temperatures and so fluctuate during
the day, heating up and then cooling down, so the da
es to stat_contour, but try
>
> ggplot(data=data, aes(x, y, colour=(factor(level)), fill=level))+
> geom_point()+
> stat_density2d(bins=2)
>
> HTH,
> Ista
>
> On Mon, Jan 28, 2013 at 2:43 PM, Nathan Miller
> wrote:
> > Thanks Ista,
> >
>
data from different groups
are distributed. Using the 95% CI type idea is so that I don't end up
arbitrarily drawing circles around each set of points. I appreciate your
direction though.
Nate
On Mon, Jan 28, 2013 at 10:50 AM, Ista Zahn wrote:
> Hi Nathan,
>
> This only fits some of you
Hi all,
I have been looking for means of add a contour around some points in a
scatterplot as a means of representing the center of density for of the
data. I'm imagining something like a 95% confidence estimate drawn around
the data.
So far I have found some code for drawing polygons around the
I have a path:
path = "/nfs/users/nfs_n/ns9/
Phenotype Analysis/Results/Run_AmplRatio_neg
BinaryAll trained without akapn+tnik.csv"
I wish to replace the spaces with "\ " so that it can be read by a system
call to unix.
Using gsub I try:
> gsub(" ","\\ ",path)
[1] "/nfs/users/nfs_n/ns9/Phenotyp
tempt to simplify example and just include the code I felt was
> > necessary I left out the loading of ggplot2, which then imports reshape2,
> > and which was actually used in the code I provided. Sorry to the mistake
> > and my misunderstanding of where the reshape function was coming fro
from.
Should have checked that more carefully.
Thanks,
Nate
On Thu, Dec 13, 2012 at 9:48 AM, David Winsemius wrote:
>
> On Dec 13, 2012, at 9:16 AM, Nathan Miller wrote:
>
> Hi all,
>>
>> I have played a bit with the "reshape" package and function along with
solve our problem. Is there someone able to tell us what
kind deformation we should try?
(I'm sorry for the horrible English but I'm not a native speaker)
Thanks!
Nathan
--
View this message in context:
http://r.789695.n4.nabble.com/QQplot-tp4651293.html
Sent from the R help mailing
Hi,
I'm trying to create a plot showing the density distribution of some
shipping data. I like the look of violin plots, but my data is not
continuous but rather binned and I want to make sure its binned nature (not
smooth) is apparent in the final plot. So for example, I have the number of
indivi
ersion?
Any suggestions would be very much appreciated. Thank you for your time.
Nate Svoboda
Nathan Svoboda
Graduate Research Assistant
Mississippi State University
[[alternative HTML version deleted]]
__
R-help@r-project.org mai
in investigating those effects. How could
I include a covariate in such model? How should I strucutre it given that
there are species covariates (high order of nesting)?
I hope that my questions are relevant!
Thank you very much in advance for your help!
Nathan
[[alternativ
4 55 58 60 62 63
66 67 70 72 74 78 81 83 88 89 100 105
lps <- eleaps(x$mat, 40, 40, 1, NULL, include, H=x$H, r=1)
--Nathan
[[alternative HTML version deleted]]
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-
Hi all,
I've spent quite a lot of time searching through the help lists and reading
about how best to run perform a 2-way ANOVA with unbalanced data. I realize
this has been covered a great deal so I was trying to avoid adding yet
another entry to the long list considering the use of different SS,
you for your time and quick responses!!
Nate
Nathan Svoboda
Graduate Research Assistant
Carnivore Ecology Lab
Mississippi State University
From: Marc Schwartz [mailto:marc_schwa...@me.com]
Sent: Thu 5/24/2012 3:09 PM
To: Nathan Svoboda
Cc: David Winsemius
,
Nate
Nathan Svoboda
Graduate Research Assistant
Mississippi State University
From: David Winsemius [mailto:dwinsem...@comcast.net]
Sent: Thu 5/24/2012 1:54 PM
To: Nathan Svoboda
Cc: r-help@r-project.org
Subject: Re: [R] R Error: System is computationally
Thank you for your quick reply,
When I run the code you provide I get this output:
LCOVER
LOCS 1 2 3 4 5 6 7 9
0 214507 79939 69803 778359 22932 32391 99630 8082
1 15 7 1 32 0 0 0 0
2 2 1
0 0 0 0 0 0
3 0 0 0 1 0 0 0 0
Nate
From: David Winsemius [mailto:dwinsem...@comcast.net]
Sent: Thu 5/24/2012 1:54 PM
To: Nathan Svoboda
Cc: r-help@r-project.org
Subject: Re: [R] R Error
why I may be getting this error when I add the categorical
covariate?
I appreciate your time and input. Thank you,
Nate
Nathan Svoboda
Graduate Research Assistant
Carnivore Ecology Lab
Mississippi State University
--
View this message in context:
http://r.789695.n4.nabble.com/R-Error
es I. I've
tried various packages but none seem to bee the very solver in Excel. Any
recommendations on what packages or functions I should try?
--Nathan
[[alternative HTML version deleted]]
__
R-help@r-project.org mailing list
https://stat.ethz.
block, but assume independence among blocks?
On another note, I am also receiving the following warning message
after model completion for larger models (with many more variables
than 2):
Warning message:
In mer_finalize(ans) : false convergence (8)
Thank you for your time, effort, and patience deal
x27;,alpha=1) # error
Error in array(0, c(n, p)) : 'dim' specifies too large an array
This result is the opposite of what I might have expected. The non-sparse
data runs fine, but the sparse data fails because it is "too large". Is
this a glmnet issue or an R memory issue? Is there
lan on using the Mac OS X version, /usr/bin/perl, use /usr/bin/cpan to
install Statistics::Descriptive first as it appears you don't have that
installed in /System/Library/Perl.
Thanks,
Nathan
>Hello,
>
>I'm having a question related to the system command within R: I try to
ripts, ...){
panel.barchart(x, y, horiz=F, subscripts=subscripts,
groups=growth.means$Group.2, ...)
panel.segments(x[subscripts], y, x[subscripts], y+0.5)
print(x[subscripts])
}
barchart(growth~Group.1, groups=Group.2, data=growth.means,
col=c(1,2,3),
panel=panel.super
not on the
grouped bars
barchart(x~Group.1, groups=Group.2, data=growth.means,
panel=function(x,y,subscripts, groups){
panel.barchart(x,y,horiz=F,groups=groups, subscripts=subscripts)
panel.segments(as.numeric(x)[subscripts],y,as.nu
t someone else
might start their own exploration of these issues a little further down the
road than I found myself when I started looking into this.
Thanks,
Nate
On Wed, Nov 9, 2011 at 1:46 PM, David Winsemius wrote:
>
> On Nov 9, 2011, at 4:35 PM, Nathan Miller wrote:
>
> Sorry, I
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 wrote:
> Sorry, I didn't realize I was being so obscure.
>
> Within ggplot it is possible to use sta
y looking
for details regarding how "mean_cl_boot" works. If you don't have
information regarding how it works (such as the default number of
resamplings) there is no need to respond.
Thanks for any assistance,
Nate
On Wed, Nov 9, 2011 at 1:10 PM, David Winsemius 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 many bootstrap iterations are preformed by
default? Can
Hi all,
Say I have a data frame something like the one below with different sample
vials, measured before(B) and after(A) some process, with a value recorded
at each measurement point
vialmeasurevalue
1 B26
1 A12
2 B 45
2
at as well.
Thanks again.
Nate
On Wed, Oct 19, 2011 at 10:33 PM, Joshua Wiley wrote:
> Hi Nathan,
>
> I honestly do not think that anything else will be much better than
> merging the two datasets. If the datasets are not merged, you
> essentially have to apply your optode functio
Hello,
I am not entirely sure the subject line captures what I am trying to do, but
hopefully this description of the problem will help folks to see my
challenge and hopefully offer constructive assistance.
I have an experimental setup where I measure the decrease in oxygen in small
vials as an o
t;data[,25]),1,min)
Which returns the following error message:
"Error in apply(which(new[, 2:24] > new[, 25]), 1, min) :
dim(X) must have a positive length"
Any help would be much appreciated.
Nathan
__
R-help@r-project.org mailing list
tor + to be at the end of
> a
> line, not at the beginning. Copy and paste this code verbatim to
> see what I mean:
> p + geom_errorbar(limits,width=0.2)
> + geom_point(aes(fill=factor(Temp)), colour = colors()[173],
> shape = 21, size=4)
>
> This happen
Hi all,
This seems like a basic problem, but no amount of playing with the code has
solved it. I have a time-series data set like that shown below (only longer)
and am seeking to plot the data with filled, circular points and error bars.
I would like the error bars to be behind the points otherwis
R version: 2.13.1 64 bit for macOSX
R console version: R for Mac OS X GUI 1.40-devel Leopard build 64-bit (5874)
Problem: When I go to use the auto completion feature it keeps tagging
on all the listed options instead of just allowing me to pick one. Is there a
fix for this?
_
. The game is to write the function so that it
> takes a [list] model object (here, m) as input and a data frame as
> output. You can also extract output from summary(m) in a similar way,
> using m as the input object.
>
> HTH,
> Dennis
>
> On Mon, Aug 22, 2011 at 6:15 PM, Nathan
Hi all,
I have a data set that looks a bit like this.
feed1
RFU Site Vial Time lnRFU
1 811 10 10.702075
2 4752111 20 10.768927
3 4290511 30 10.66674
4 4686711 40 10.755069
5 4299511 50 10.668839
6 4307411
at Goodman
--------
Nathan (Nat) Goodman
Senior Research Scientist
Institute for Systems Biology
401 Terry Avenue North
Seattle, WA 98109-5234
206-331-0077
206-363-0431 (fax)
n...@shore.net or ngood...@systemsbiology.org
__
R-help@r-project.org ma
Is it in bad form to double post to StackOverflow and R-help? Apologies if
so. Here's my task:
I've got a matrix of means like so
means<-matrix(1:10,nrow=2)
colnames(means)<-c("a","b","c","d","e")
and a matrix of standard deviations like so
sds<-matrix(seq(0.1,1,by=0.1),nrow=2)
colnames(sds)<-c
Hello
I have a number of data files which are outputs for each step of a
simulation. The data is organized like this:
dmindmax coef
5 6 0.490981
3 8 0.098056
5 6 0.425926
6 6 0.517860
2 4 0.527778
I would li
Hello,
I am trying to generate a set of boxplots using ggplot with the following
data with 4 columns (Day, Site, VO2, Cruise)
AllCorbulaMR
Day Site VO2 Cruise
1 11 148.43632670 1
2 11 61.73864969 1
3 11 92.64536096 1
4 11 73.35434957
on the bottom and leaves at
the top (in horizontal orientation) or root on the right and leaves to the left
(in vertical orientation)?
Cheers,
Nathan
--
--
Dr. Nathan S. Watson-Haigh Tel: +61 (0)7 4753 8548
OCE Postdoctoral
nient as well.
Maybe I'll came back to the data filtering problem later.
Thanks for your help and comments,
Nate
On Tue, Dec 28, 2010 at 10:49 AM, David Winsemius wrote:
>
> On Dec 28, 2010, at 1:08 PM, Nathan Miller wrote:
>
> Hello,
>>
>> I am trying to filter a dat
Hello,
I am trying to filter a data set like below so that the peaks in the Phase
value are more obvious and can be identified by a peak finding function
following the useful advise of Carl Witthoft. I have written the following
for(i in length(data$Phase)){
newphase=if(abs(data$Phase[i+1]-data$P
Hello,
Thank you to all those great folks that have helped me in the past
(especially Dennis Murphy).
I have a new challenge. I often generate time-series data sets that look
like the one below, with a variable ("Phase") which has a series of
flat-topped peaks (sample data below with 5 "peaks"). I
Hello
I'm using the following call to create a contourplot:
library(lattice)
m <- as.matrix(read.table("data.txt"))
contourplot(m[,3] ~ m[,2] * -m[,1],
at = c(1e-6, 1e-5, 1e-4, 1e-3, 1e-2, 1e-1),
scales = list(x = list(log = 10,
labels =
Hello,
I am trying to create a series of boxplots with the following data, three
columns, "Day" (1 or 2), "Site" (1-4), and "VO2" (some values missing for
some Sites or Days)
> CorbulaMR3
Day Site VO2
111 88.92223
211 86.17873
311 61.08950
411 190.47922
Hello,
I am trying write a script that includes a prompt for user input using
readlines(). I am running into the problem that when I run readlines() as a
single line the prompt works perfectly, but when I try to run a block of
code which includes the readline function, the script doesn't wait for
Dennis and all,
Thank you for the help as I try to get this method for importing and batch
processing files organized. I currently have this set-up to import data from
two files in my working directory. "Var1" specifies data from file 1 and
file 2.
filenames=list.files()
library(plyr)
import
and store as data frame
dfmi <- data.frame(
Formula=sapply(mods, FUN=function(x){ paste(formula(x)[2], formula(x)[1],
formula(x)[-c(1,2)], collapse=" ") } ),
AIC=sapply(mods, FUN="AIC") )
#write the data frame to a comma-separated file
write.table(dfmi, file=&qu
Thank you, Deepayan, for the answer - and for creating amazingly helpful
tools!
Thanks also to Jim Lemon who pointed out a typo in the code: S2 <
.025 should read S2 > .025,
Nathan
On Thu, Sep 30, 2010 at 5:21 AM, Deepayan Sarkar
wrote:
> On Mon, Sep 27, 2010 at 7:11 AM, nathan
# Dear R Community,
# I have this data frame:
df1 <- data.frame(
F1 = factor( c( rep("D1",12),rep("D2",12),rep("D3",12) ) ),
F2 = factor( rep( rep( paste("O",1:6,sep=""), rep(2,6) ), 3) ),
F3 = factor( rep( c("V1","V2"), 18 ) ),
S1 =
c(8.840955e-02,2.546822e-01,7.5
approximate credible intervals
(pending a function revision by the author) for that purpose.
Is my assumption correct?
Nathan
--
Nathan Pace, MD, MStat
Department of Anesthesiology
University of Utah
801.581.6393
n.l.p...@utah.edu
[[alternative HTML version deleted
ing jobs in the 100 GB
range. If so, what does your hardware look like?
--Nathan
[[alternative HTML version deleted]]
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://ww
. return the
start/end date/time ranges which are in 1 or both sets
Is there anything that is currently able to do this? If not, I'll start
to code something.
Kind regards,
Nathan
--
Dr. Nathan S. Watson-Haigh
OCE Post Doctoral Fellow
ol=as.numeric(as.factor(rownames(d)))[2])
legend("topright", c(rownames(d), "Total"),
fill=c(as.numeric(as.factor(rownames(d))), "blue"))
Cheers,
Nathan
--
Dr. Nathan S. Watson-Haigh
OCE Post Doctoral Fellow
CSIR
On 8/02/2010 4:33 PM, Jim Lemon wrote:
On 02/08/2010 12:26 PM, Nathan S. Watson-Haigh wrote:
I have a 2 column data.frame:
> d[1:5,]
a b
1 80015 C
2 80016 B
3 80023 C
4 80062 B
5 80069 B
I want to apply a function across each row:
> for(i in 1:nrow(d)) {
+ myFun(con, d[i,]$
On 8/02/2010 2:08 PM, David Winsemius wrote:
On Feb 7, 2010, at 8:26 PM, Nathan S. Watson-Haigh wrote:
I have a 2 column data.frame:
d[1:5,]
a b
180015 C
280016 B
380023 C
480062 B
580069 B
I want to apply a function across each
how to tell apply() to pass
data from columns a and b for a given row as arguments to the function
myFun().
Thanks in advance for any pointers,
Nathan
--
----
Dr. Nathan S. Watson-Haigh
OCE Post Doctoral Fellow
CSIRO Livestock Industries
Unive
need to get all the PK's which this dbWriteTable() appended
to the contact table so I can load the data into my an_contact link
table. I don't want to issue a separate INSERT query for each row in dat
and then use MySQLs LAST_INSERT_ID() functionnot when I have
3.5million rows to ins
I knew it should be simple . but only if you know how!!
Thanks, works a treat!!
Nathan
Dr. Nathan S. Watson-Haigh
OCE Post Doctoral Fellow
CSIRO Livestock Industries
University Drive
Townsville, QLD 4810
Australia
Tel: +61 (0)7 4753
d value from lookup table df? I'd expect the following
output:
> v
[1] "1" "2" "2" "4" "2" "4" "2" "2" "4" "2" "1"
"2" "2" "1&qu
Anyone know of a min hash algorithm written in R?
--Nathan
[[alternative HTML version deleted]]
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting
oad data into table
Can anyone shed light on this error, or how I might bulk load this data
using RMySQL?
Cheers,
Nathan
--
----
Dr. Nathan S. Watson-Haigh
OCE Post Doctoral Fellow
CSIRO Livestock Industries
University Drive
Townsville, QL
My group is working with datasets between 100 Mb and 1 GB in size, using
multiple log ins. From the documentation, it appears that vsize is limited
to 2^30-1, which tends to prove too restrictive for our use. When we drop
that restriction (set vsize = NA) we end up hanging the server, which
requi
nsize vsize
1 1073741824
> mem.limits(vsize=2^31)
nsize vsize
1 1073741824
Warning message:
In structure(.Internal(mem.limits(as.integer(nsize), as.integer(vsize))), :
NAs introduced by coercion
--Nathan
[[alternative HTML versio
Can anyone point me in the right direction for decompressing text files that are
compressed as tar.gz or zip files?
Cheers,
Nathan
--
Dr. Nathan S. Watson-Haigh
OCE Post Doctoral Fellow
CSIRO Livestock Industries
University Drive
to be portable across OS etc.
Nathan
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained
On Mon, 2009-07-27 at 16:34 -0300, Henrique Dallazuanna wrote:
> Try this:
>
> t1 <- prop.table(table(factor(c(0,0,2,4,4), levels = 0:4)))
> t2 <- prop.table(table(factor(c(0,2,2,2,3), levels = 0:4)))
Is there a way to do this given an already existing table? The problem
is that I actually build
Hello
I'm trying to write a function to calculate the relative entropy between
two distributions. The data I have is in table format, for example:
> t1 <- prop.table(table(c(0,0,2,4,4)))
> t2 <- prop.table(table(c(0,2,2,2,3)))
> t1
0 2 4
0.4 0.2 0.4
> t2
0 2 3
0.2 0.6 0.2
The re
-BEGIN PGP SIGNED MESSAGE-
Hash: SHA1
Hi Steven,
This looks great. Thanks!
Nathan
Steve Lianoglou wrote:
> Hi Nathan,
>
> On Jul 8, 2009, at 10:20 PM, Nathan S. Watson-Haigh wrote:
>
>> I have two matrices:
>>
>>> m1 <- matrix(1,4,4)
>>&g
1 - 100 of 170 matches
Mail list logo
