search for: condenser

Hi I'm having different outputs from GLM when using a "condensed" table V1 V2 V3 Present Absent 0 0 0 3 12 0 0 1 0 0 0 1 0 0 0 0 1 1 1 0 1 0 0 7 20 1 0 1 0 0 1 1 0 3 0 1 1 1 6 0 resp=cbind(Present, Absent) glm(resp~V1+V2+V3+I(V1*V2*V3),family=binomial) >Deviance Residuals: [1] 0 0 0 0 0 0 0 0 etc and also coefficients... And when using the same but

Dear R Experts that's my original equation > x=c(2,4) > Y1=sum(sapply(1:2,function(i){sum(sapply(1:i,function(j){(3^(x[i]+x[j]))}))})) > y1 [1] 7371 I want to write the inside function (3^(x[i]+x[j])) in a more condensed form cause this will help me when the multiple summations are more than two I've tried the following form >

Hi all, I need some help using read.ftable to read a contingency table. My columns are organized as follows: order--family--species--location--number of individuals I couldn't figure out how to change the data on my text file to be imported into R; and after you do that, is it possible to convert the table into a data frame? Any tips would be greatly appreciatted! Thanks a lot, Naiara.

Hello: I'm dealing with an issue currently that I'm not sure the best way to approach. I've got a very large (10G+) dataset that I'm trying to create a histogram for. I don't seem to be able to use hist directly as I can not create an R vector of size greater than 2.2G. I considered condensing the data previous to loading it into R and just plotting the frequencies as a

Hi, When a call is made to a queue and picked up by agents at least 2 CDR entries are made, one from local to the agent's (sip) phone, and from incoming line to Agent. There are other entries generated when other conditions happen, like agent do not pickup phones and so on. Going through the cdr entries, there seems to be no common filelds by which all entries belonging to a single call can

Hello all, I'm currently using R to do PCA Analysis, and was wondering if anyone knew the specific R Code that could limit the output of the PCA Analysis so that you only get the Principal Component features as your output and none of the extraneous words or numbers that you don't want. If that was unclear, let me use linear regression as an example: "lm(y~x)" is the normal

I have used R for years but run into a seemingly simple problem involving 'ifelse'. condensed code like this a=c(2,NA,NA,NA,2,2,NA,2,NA,2) b=c(NA,1,1,NA,2,2,2,2,2,2) #I want to combined a and b into c so that c would be a valid number either a or b is not missing c=ifelse(a==1|b==1,1,ifelse(a==2|b==2,2,NA)) cbind(a,b,c) a b c [1,] 2 NA NA [2,] NA 1 1 [3,] NA 1 1

> > Hi all, > I have a vector xm say: xm = c(1,2,3,4,5,5,5,6,6) > > I want to return a vector with the corresponding probabilities based on the > amount of times the numbers occurred. For example, I should get the > following vector for xm: > prob.xm = c(1/9, 1/9, 1/9, 1/9, 3/9, 3/9, 3/9, 2/9, 2/9) > Using prop.table gives: Usage (with table) > prob.xm <-

Hi, I would like to plot a linear relationship between variable x and y. Can anyone help me with scaled plotting and axes so that all data points can be visualized somehow evenly? Plaint plot(x,y) will generate condensed points near (0,0) due to several large data points. Thank you. Eric > x [1] 0.3497630 3.3948900 1.5224900 0.2690660 0.1078720 0.0451689 0.5902680 0.2757550

...ight hand to signal the switchboard. The two dry cells inside are dated 1935, and I'm throwing them away because they're leaking acid. Wouldn't it be a kick to be able to ring this phone from an * server and have a conversation. There are several lugs inside: L1, GND, L2, COND (no condenser installed), E, and K. And of course the two battery lugs. Does anyone know anything at all about this set? I realize the CO supplies battery instead of the telephone, but can the phone be modified? Also, am I going to blow a FXS card if I don't get it right? Cheers, Mike

I have applied the same linear model to several different subsets of a dataset. I recently read that in R, code should never be repeated. I feel my code as it currently stands has a lot of repetition, which could be condensed into fewer lines. I will use the mtcars dataset to replicate what I have done. My question is: how can I use fewer lines of code (for example using a for loop, a function or

on very large files, vim will condense display - e.g. +-- 8 lines: static inline void php_openssl_rand_add_timeval() -------------------------------------------------------------------------------------------------------------------------------------------------- #endif +-- 29 lines: static int php_openssl_load_rand_file(const char * file, int *egdsocket, int *seeded)

Hi, I've written some code that fetches data from an Access Database (2003), processes the data, then saves the modified data back into a table in the Access database. It works if I only pass through the code once, but if I put a loop around the code so that I fetch data from a different source table, and then save it again to a different destination table, the code crashes. It is

Dear all, Possibly a rudimentary question, however any help is greatly appreciated. I am sorting a large matrix into an array of dim(p(i),q,3). I put each entry into a corresponding matrix (1 of the 3) based on some criteria. I figure this will assist me in condensing code as I can loop through the 3rd dimension of the array instead of generating 3 separate matrices and using the same block of

I have read everything I can find on how to manipulate a results matrix in R and I have to admit I'm stumped. I have set up a process to extract a dataset from ArcGIS to compute a similarity index (Jaccards) in Vegan. The dataset is fairly simple, but large, and consists of rows = sample area, and columns = elements. I've been able to view the results in R, but I want to get the results

Hello! Thanks for reading this request for assistance. I have a question regarding creating a histogram-like figure from data that are not currently in the correct format for the "hist" command. Specifically, my data have been processed and are in a matrix with columns containing the variables of interest and separate columns containing the number of times this variable was

Hello, I have sample data set that looks like: YEAR MONTH DAY CONTINUE SPL TIMEFISH TIMEUNIT AREA COUNTY DEPTH DEPUNIT GEAR TRIPID CONVUNIT 1992 1 26 1 SP0073928 8 H 7 25 4 NA 1000000 02163399054 161 1992 1 26 1 SP0073928 8 H 7 25 4 NA 1000000 02163399054 8 1992 1 26 2 SP0004228 8 H 7 25 4 NA 1000000 02163399054 161 1992 1 26 2 SP0004228 8 H 7 25 4 NA 1000000 02163399054 8 1992

Hello, I was wondering if there was a method in Rails that returns the sum of a column. For example, I have a column called ''score'' and writing a SQL statement such a ''select sum(score) from table_name'' does return the sum of the values in the column. In the past (not too long ago being a newbie), I defined all sorts of methods only to discover that Rails

Under R2.10.0 beta (2009-10-14 r50082) my .First does not run reliably. I reported this last week, but not reproducibly, and it seemed to go away, so I thought it might be installation-related. But it has now recurred reproducibly, at least on my machine. The website ftp://ftp.csiro.au/MarkBravington contains two .RData files each containing (only) a .First. One of them does what it should, and

I have several datasets that come from different studies (fv02 and fv03), they represent different levels (patients and lesions), and they have different patient populations (itt, mitt, mitt3). I wanted to write some code that would pass my three requirements into a function I wrote, produce the output, but not have to require me to also pass a unique plot title or output filename for each