similar to: committing multiple speculations in a single probe

Displaying 20 results from an estimated 500 matches similar to: "committing multiple speculations in a single probe"

2004 Dec 18
4
variables - data-structure
dear R-friends, i`ve got a large dataset of vegetation-samples with about 500 variables(=species) in the following format: 1 spec1 1 spec23 1 spec54 1 spec63 2 spec1 2 spec2 2 spec253 2 spec300 2 spec423 3 spec20 3 spec88 3 spec121 3 spec200 3 spec450 . . this means: sample 1 (grassland) with the species (=spec) 1, 23, 54, 63 is it possible to get a following data-structure for further
2008 May 02
3
data transformation
Dear all, how can I, with R, transform a presence-absence (0/1) matrix of species occurrences into a presence-only table (3 columns) with the names of the species (1st column), the lat information of the sites (2nd column) and the lon information of the sites (3rd column), as given in the below example? Thanks a lot for your help! Christian my dataframe: site lat lon spec1 spec2 spec3 spec4
2012 Jan 24
2
reshape dataframe to array (pivot table)
Hello, I would like to reshape a dataframe into an array. This is kind a similar task as Excel performs with a Pivot table. To illustrate it: LOC <- factor(c(1,2,2,3,1,1)) SPEC1 <- c(0,0,23,0,12,11) SPEC2 <- c(1,2,0,0,0,4) df <- data.frame(LOC,SPEC1,SPEC2) # original dataframe a <-
2009 Jul 08
2
Randomizing a dataframe
Hi R-helpers, I have a dataframe (called data) with trees in rows (n=100) and insect species (n=10) in columns. My tree IDs are in a column called TREE and each species has a column labeled SPEC1, SPEC2, SPEC3, etc... I wish to randomize the values in my dataframe such that row and column totals are held constant, i.e. in my randomized data each tree will have the same number of individual
2006 Feb 25
2
Adding header lines to a dataframe that is exported using write.csv
I would like to export a dataframe to a .csv using: >write.csv(dataframe,"dataframe.csv") but I need to add four "header" lines to the csv that are not part of the dataframe (which itself has a line of column headers). The difficulty (for me, at least!) lies in the requirement that certain elements of the header (X, Y and the number of "Q"s - please see example
2006 Jul 19
2
conditional plot
Hi, Can anyone pls help me in plotting the following data? The data-set contains company name, specification-1, specification-2. The graph would basically plot company name with specification-1 on x-axis, & specification-2 on y-axis. Simply put - company name should get classified into one of the four quardrants created by specification 1 & specification2. Thanks.
2013 Feb 11
1
Quick start configuration sample for "chan_dahdi.conf"
I am really a beginner of PRI ISDN board, I am wondering if there is a "quick start" chan_dahdi.conf configuration I could use. I tried to install two "FreePBX" boxes follow the instructions from "http://www.cadvision.com/blanchas/Asterisk/DahdiT1trunk.html" connected them between PRIs, It worked. And now if I refer the FreePBX "chan_dahdi.conf" it looks
2007 Nov 21
1
Different freq returned by spec.ar() and spec.pgram()
Dear list, I've recently become interested in comparing the spectral estimates using the different methods ("pgram" and "ar") in the spectrum() function in the stats package. With many thanks to the authors of these complicated functions, I would like to point out what looks to me like a bit of an inconsistency -- but I would not be surprised if there is good reasoning
2019 Feb 14
0
Proposed speedup of spec.pgram from spectrum.R
Hello, I propose two small changes to spec.pgram to get modest speedup when dealing with input (x) having multiple columns. With plot = FALSE, I commonly see ~10-20% speedup, for a two column input matrix and the speedup increases for more columns with a maximum close to 45%. In the function as it currently exists, only the upper right triangle of pgram is necessary and pgram is not returned by
2013 Apr 10
0
Problem with ode
Hi, I am trying to run a 1D nutrient-phytoplankton-zooplankton model in R using the package 'deSolve'. The code is shown below: DEPTH = seq(2.5, 147.5, 5) NPZ = function(t, state, params){ with(as.list(params), { P <- state[1:NB] Z <- state[(NB + 1): (2*NB)] N <- state[(2*NB + 1): (3*NB)] F.I = function(z, hr){ I0 = function(hr){
2007 Feb 25
1
nested design in lme, need help with specifying model
Hi, I wonder if anyone can help me with specifying a right model for my analysis. I am a beginner to lme methods and though have spent already many hours studying from various books an on-line helps, I was unfortunately not able to find a solution to my problem on my own. Data structure: I studied escape behavior of three species of a prey to a predator. The prey specimens (many) were in a
2007 Apr 12
3
Method dispatch for print() in package its
Dear all, in the package its the print() method does not seem to correctly work in all circumstances: > selectMethod(print, "its") Method Definition: function (x, ...) { print(x@.Data <mailto:x@.Data> , ...) } <environment: namespace:its> Signatures: x target "its" defined "its" > fundPME.lst[[1]]$irr An object of
2012 Sep 25
1
Problem with zcat uncompressing man pages
Hi When I read 'certain' -- not all -- man pages zcat writes a small error to stderr when opening the man page; however, the man page does actually open. The message i get on the terminal is: zcat: error writing to output: Broken pipe zcat: /usr/local/man/man5/muttrc.5.gz: uncompress failed When closing the man page, another message is shown on stderr: grotty:<standard input>
2007 Aug 07
2
GLMM: MEEM error due to dichotomous variables
I am trying to run a GLMM on some binomial data. My fixed factors include 2 dichotomous variables, day, and distance. When I run the model: modelA<-glmmPQL(Leaving~Trial*Day*Dist,random=~1|Indiv,family="binomial") I get the error: iteration 1 Error in MEEM(object, conLin, control$niterEM) : Singularity in backsolve at level 0, block 1 >From looking at previous help
2005 Aug 18
2
lme model: Error in MEEM
Hi, We have data of two groups of subjects: 32 elderly, 14 young adults. for each subject we have 15 observations, each observation consisting of a reaction-time measure (RT) and an activation maesure (betadlpcv). since we want to analyze the influence of (age-)group and RT on the activation, we call: lme(betadlpcv ~ RT*group, data=our.data, random=~ RT |subject) this yields: Error in
2010 Aug 31
1
any statement equals to 'goto'?
I have the following code: ----------------------------------------------------------------------------------------------------- result <- matrix(NA, nrow=1, ncol=5) for(i in 1:(nsnp-1)) { for(j in (i+1):nsnp){ tempsnp1 <- data.lme[,i] tempsnp2 <- data.lme[,j] fm1 <- lme(trait~sex+age+rmtemp.b+fc+tempsnp1+tempsnp2+tempsnp1*tempsnp2, random=~1|famid, na.action=na.omit) fm2 <-
2015 Aug 22
3
sprintf error: "only 100 arguments allowed"
I'm trying to apply a function defined in the VW R docs, that attemps to convert a data.table object to Vowpal Wabbit format. In the process i'm getting the error in printf mentioned in the subject. The original function is here: https://github.com/JohnLangford/vowpal_wabbit/blob/master/R/dt2vw.R Below there is a small example that reproduces the error. The function works great with
2013 Jul 29
2
a different ssh::auth problem
Hi, I am very new to puppet. I installed puppet 3.2.3 (open source) on Debian Wheezy. Everything seems to work fine. Now I want to setup ssh::auth on the puppet master. The documentation states that: "To install ssh::auth, place the file auth.pp<http://projects.reductivelabs.com/attachments/935/auth.pp> (attached to this page) into the ssh/manifests directory in your module path:
2009 Apr 17
10
Virtual devices disappear in dladm show-link
Using OpenSolaris 2008.11 build 110. Created vnic''s and etherstub''s and they are displayed using dladm show-links but when the server is rebooted a ''dladm show-link'' is empty although the vnic and etherstub devices are still there and function properly. That is a real inconvenience, so why do the no longer show after a reboot or shutdown/start? Is there a
2009 Mar 10
40
dlstat for data link statistics
(Bcc''ed to networking discuss). Hi All, Have enclosed man page draft for dlstat(1M) herewith. This is part of the effort to gain better visibility into network traffic in light of crossbow features like virtual NICs, interrupt vs. polling modes etc. This in turn would greatly assist network performance analysis. It is also aimed at segregating link/flow configuration from