search for: jubal

...-------------------------------- Jonathan P. Daily Technician - USGS Leetown Science Center 11649 Leetown Road Kearneysville WV, 25430 (304) 724-4480 "Is the room still a room when its empty? Does the room, the thing itself have purpose? Or do we, what's the word... imbue it." - Jubal Early, Firefly

...-------------------------------- Jonathan P. Daily Technician - USGS Leetown Science Center 11649 Leetown Road Kearneysville WV, 25430 (304) 724-4480 "Is the room still a room when its empty? Does the room, the thing itself have purpose? Or do we, what's the word... imbue it." - Jubal Early, Firefly [[alternative HTML version deleted]]

...-------------------------------- Jonathan P. Daily Technician - USGS Leetown Science Center 11649 Leetown Road Kearneysville WV, 25430 (304) 724-4480 "Is the room still a room when its empty? Does the room, the thing itself have purpose? Or do we, what's the word... imbue it." - Jubal Early, Firefly

Hi, I'm running R 2.11 Does anyone know if it possible to transform one character vector to one character string ? Many thanks Benoit -- Benoit Wastine Laboratoire des Sciences du Climat et de l?Environnement (LSCE/IPSL) CEA-CNRS-UVSQ CE Saclay Orme des merisiers B?t 703 - Pte 13A 91191 Gif sur Yvette Cedex France Tel : 33 (0)1 69 08 21 97 Fax : 33 (0)1 69 08 77 16

The guide of R Code style recommends to write script with a maximal length of 80 characters? how to break a line longer than 80 characters like filename_name <- ("/blaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa/"/ blaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa/data.csv") I did not find any answer while googling. Thank you!

Dear R users Is there a way to obtain the residuals from a model fitted by quantile regression? Thank you. Thanaset -- View this message in context: http://r.789695.n4.nabble.com/Quantile-Regression-Extracting-Residuals-tp3225423p3225423.html Sent from the R help mailing list archive at Nabble.com.

Dear Masters, I'm driving crazy with the lowess() function.... my intent is smoothing confidence intervals for predicted y values in a linear model lm() setting since in the predict() function there exists an option for predicting NA values, I instead encounter problems when I fit a missing values x variable to the predicted terms.....,impossible task!!! I've been banging on my head

Is it possible to send data from an executing R script, to external R script files, on linux in this case, get that external R script to execute, and pass results back to the central script? If so what commands should I be looking at? I've googled for R and external, stuff like that but no luck. The reason for the question is that I need to generate simulation data, then perform several

Hi I am new to R and am trying to set up a two-dimensional array/matrix with the elements defined by the function similar to below. Been trying to use outer with apply but can't seem to get the indexing quite right. Is their a simple way of accomplishing this task ?? ----- / | 1 x < 0.5 & y < 0.5 |

Hi Everyone, Can anyone help me resolve a problem that i'm having with nlminb. The problem is that it stops after just one iteration and returns the same values as "start" ones. Thank you very much for your help. Sincerely. -- Kamel Gaanoun (+33) (0)6.76.04.65.77 [[alternative HTML version deleted]]

Dear colleagues, I am trying to get someone to use R on MS Windows with the browser disabled. My question is how does he/she get to use R-help which goes off the browser (and correspondingly complains about the inability to start firefox, etc). In linux, which is what I use, this is not a problem: what needs to be set in Windows to replicate this behavior? Sorry if I am not clear: please feel

R folks, I am trying to create a mhtplot plot that will alter the point size via the plot point value. The size of the point should change via a set criteria such as: if point value <10^-6 size 3x else if 10^-3> point value >10^-6 size 2x else point value >10^-3 size is x I consider myself an R newbie, and I am assuming that I could do this via some sort of function to change

Which one is more efficient? x2=c() for (i in 1:length(x)) { x2=c(x2,func(x[i])) } or x2=x for (i in 1:length(x)) { x2=func(x[i]) } where func is any function? Dirk -- View this message in context: http://r.789695.n4.nabble.com/appending-to-a-vector-tp3449109p3449109.html Sent from the R help mailing list archive at Nabble.com.

HI, Dear R community, I try to create 100 dummy variables like the following: ack$id_1 <- (ack$ID==1)*1 ack$id_2 <- (ack$ID==2)*1 .. . ack$id_100 <- (ack$ID==100)*1 I used the following codes: for(i in 1:100){ ack$id_[i] <- (ack$ID==i)*1 } But only one column is created, can anyone help me? Thanks a lot! -- Sincerely, Changbin --

Hello, Are there any packages which allow for a good integration between R and LaTex / LyX? I'm interested mainly in automatic (automagic?) imports of plots/graphics. Thanks in advance and best regards, Eduardo de Oliveira Horta [[alternative HTML version deleted]]

Dear All, We came across a problem when using the "tree" package to analyze our data set. First, in the "tree" function, if we use the default value "mindev=0.01", the resulting regression tree has a single node. So, we set "mindev=0", and obtain a tree with 931 terminal nodes. However, when we further use the "cv.tree" function to run a 10-fold

Hi, I usually use optimize function for ML Estimation. Now I?ve got a data frame with many sets, but I can?t save estimates each time I run the code for each data set (I?m using a for loop with my loglikelihood function and works ok but when I apply another for loop to: optimize(my.loglikelihood.function[i], int=c(0.0001,10)) it doesn?t work; alternatively, using optimize inside the for loop

I have a question regarding the most efficient way to select a substring of a vector: I have a vector of value v, and I want to select a subspace of this vector called w such that: w=v[1:n] where sum(w) = x I am interested in what you thing would be the most efficient way to do this - I would like to avoid slowing down my simulations as much as possible. Thank you very much for any help that

Dear Sir\ Madam  I am trying to maximise a complicated loglikelihood function  via EM algorithm which consists of two step "E-step and M-step"and in this case I need to maximize the expected of like lihood function " which I get from E- step" and take those estimates of parameter to update the E-step and repate these till convargence has been met. So I need to know if I

Hello everyone, I have two questions: 1.) I would like to generate random percentages that add up to 100. For example, if I need 5 percentages, I would obtain something like: 20, 30, 40, 5, 5. Is there some way to do this in R? 2.) I would like to insert vectors of specified length into a larger vector of specified length randomly, and fill the gaps with zeroes. For example, if I have 3 vectors