similar to: Highly significant intercept and large standard error

Hi, I've read the Vorbis stereo documentation on square polar mapping and currently reading the source code to understand it. But there are some things which I don't quite understand and hope I can get some guidance on. I understand the decoding/decoupling part as it is the same as the one described in the stereo docs: From mapping0.c: /* channel coupling */

Dear help-list, I would like to perform a linear regression on the log10 of the two vectors ov.mag.min and res.600nm. The slope and intercept of the regression I use to plot a wider range of ov.mag.min in a double log plot. For a linear regression on only tow points, wouldn't I expect the results for two.points.min to match pretty exactly res.600nm? It does not seem to be the case here.

Hello, I?m using zero-inflated Poisson regression via the zeroinfl() function to analyze data on seed-set of plants, but for some reason, I don?t seem to be getting the output for all three levels of my two categorical predictors. More about my data and model: My response variable is the number of viable seeds (AVInt), and my two categorical predictors are elevation (Elev) and Treatment

Hi (R 2.13.1, OSX 10.6.8) I am trying to use predict.rma with continuous and categorical variables. The argument newmods in predict.rma seems to handle coviariates, but appears to falter on factors. While I realise that the coefficients for factors provide the answers, the goal is to eventually use predict.rma with ANCOVA type model with an interaction. Here is a self contained example

Hi, I get while installing windows XP on a I ball Laptop using unattended (http://unattended.sourceforge.net/) *** Trying mount.cifs \\ntinstall\install /z -o username=guest,ro,nocase CIFS VFS: No response to cmd 46 mid 13 CIFS VFS: Send error in read = -11 CIFS VFS: No response to cmd 162 mid 17 CIFS VFS: No response to cmd 162 mid 21 CIFS VFS: No response to cmd 162 mid 25 CIFS VFS: No

Hola buenas noches, tengo un problema bastante gordo. ¿A alguno le ha dejado de funcionar las funciones pamer.fnc y mcp.fnc con la nueva versión de R? La semana pasada formatee el ordenador y ahora scripts antiguos no funcionan. La cuestión es que me precupa que no funcione el ejemplo de tutorial del autor. Os dejo un script que debería de funcionar y no lo hace

Colleagues, I am analyzing data collected during oceanographic cruises. We have conducted many cruises over the last decade. On each cruise we visit ~50 stations. At each station (termed EventNum)we lower an instrument that measures depth, temperature, salinity and oxygen every few seconds as it is lowered through the water. Data from all EventNums on all cruises are stacked, generating a data

I have a question regarding robust nonlinear regression with nlrob. I would like to place lower bounds on the parameters, but when I call nlrob with limits it returns the following error: "Error in psi(resid/Scale, ...) : unused argument(s) (lower = list(Asym = 1, mid = 1, scal = 1))" After consulting the documentation I noticed that upper and lower are not listed as parameter in

Good Morning, I am trying to create a new column of character strings based on the first two letters in a string in another column. I believe that I need to use some combination of ifelse and grep but I am not totally sure how to combine them. I am not totally sure why the command below isn't working. Obviously it isn't finding anything that matches my criteria but I am not sure why. Any

Hello folks, I have a big project to work on and the dataset is classified so I am just going to use my own example so everyone can understand what I am targeting. Let's take Target as an example: We consider three brands of tape: Target brand, 3M and Avery. The original data frame has 4 columns: Year of Record, Product_Name(which contains three brands of tape), Sales, and Region. I want to

Hi R-users, I have a simple question for R heavy users. If I have a data frame like this dfr <- data.frame(id=1:16, categ=rep(LETTERS[1:4], 4), var3=c(8,7,6,6,5,4,5,4,3,4,3,2,3,2,1,1)) dfr <- dfr[order(dfr$categ),] and I want to score values or points in variable named "var3" following this kind of logic: 1. the highest value of var3 within category (variable named

I'm having some confusing problems transferring approximately 16GB, in about 541,000 individual files. What is happening is that I am starting with a blank destination directory on a gentoo system running samba 3.0.1, and pulling from one of two windows systems. The problems come in that each time I use rsync (version 2.5.7) over samba to keep the data on the gentoo system's side in sync

I have a data frame containing children, with variables 'year' = birth year, and 'm.id' = mother's id number. Let's assume that all the births of each mother is represented in the data frame. Now I want to create a subset of this data frame containing all children, whose mother's first birth was in the year 1816 or later. This seems to work: mid <-

Hello all, I need help about smbiod, i have mounted samba server from linux client with command "mount -t smbfs -o username=root //10.10.x.x/folder /dest" and then the client ask about password, and it works, but when i copy files in the middle of the process suddenly it stoped, then i run command "top" i see "smbiod" use verry high cpu usage(more than 90%). Is

I am trying to replicate the first example from stepAIC from the MASS package with my own dataset but am running into error. If someone can point where I have gone wrong, I would appreciate it very much. Here is an example : set.seed(1) df <- data.frame( x1=rnorm(1000), x2=rnorm(1000), x3=rnorm(1000) ) df$y <- 0.5*df$x1 + rnorm(1000, mean=8, sd=0.5) # pairs(df); head(df) lo <-

Hello, i'm tring to use a cox's model for a survival analysis. I have a dataset, this is a part: VOD SESSO fonte_sct donor RT_CGY STATOBMT TEMPO morto 1 0 F mid related 1200 CP 65 1 2 0 M mid 1200 2RC 5281 0 3 0 M mid unrelated 1200

Here is the function that makes the data.frames in the list: funweek <- function(df) if (length(df$elapsed_time) > 5) { res = fitdist(df$elapsed_time,"exp") year = df$sale_year[1] sample = df$sale_week[1] mid = df$m_id[1] estimate = res$estimate sd = res$sd samplesize = res$n loglik = res$loglik aic = res$aic bic = res$bic chisq =

Hi I have two irregular time series, which are of different lengths and being and end at different times. For the common subset of time that they both span, they should have the same values, but the values may occur at slightly different time intervals. I am trying to "line up" the identical values and reconcile them. I have merged the two series into a zoo object which looks

Dear All, I am practicing data manipulation and I would like to generarte a count variable. My data looks like this: Country MID 1 NA 1 0 1 0 1 1 1 0 2 0 2 1 2 0 2 0 2 0 I would like to to generate a variable

Really odd problem that I'm having, and I'm totally clueless as to whats causing it. Scenario: 2 mounts from a W2K machine to a Linux box. The Win2k box gets powered down overnight. Obviously during this, if i do a df it freezes because it cant reach the drives. I used to be able to boot the machine back up in the morning and it would see the drives again. Not anymore. The same