search for: tvecs

dear all. Would someone be kind and willing to explain the code below for a person who has never used R? ( that is if one has enough time and inclination) It implements gillepsie's stochastic algorithm for Lotka Volterra model. What would help me tremendously is to see the breakdown of the line by line code into plain english. thanks for any insights or other comments. sean

Hi, I realized that when I have irregular series to feed into lineChart, the interval of each point in the chart does not seem to take care of irregular time interval I specified in my input xts time series. But rather, lineChart seems to take each point as equal spaced time series. For example, I have the following code: library(quantmod) options(digits.sec=3) t0 <-

Hi I'm trying to replicate Smith et al.'s (http://www.sciencemag.org/content/330/6008/1216.abstract) findings by fitting their Gompertz and logistic models to their data (given in their supplement). I'm doing this as I want to then apply the equations to my own data. Try as a might, I can't quite replicate them. Any thoughts why are much appreciated. I've tried contacting the

I have a dataframe that contains time values in the form of yyyy-mm-dd hh:mm i.e. 2010-07-14 13:00. When I convert this to numeric via tvec <- as.numeric(Time) I get a number that is in seconds. So far so good. When I then divide the numeric value by the number of seconds in a day eg tvec/(60*60*24) I only get integer values and not fraction of a day which is what I want. What do I need to

Dear R-help list, I am working on an optimization with R by evaluating a likelihood function that contains lots of Gamma calculations (BGNBD: Hardie Fader Lee 2005 Management Science). Since I am forced to implement lower bounds for the four parameters included in the model, I chose the optim() function mith L-BFGS-B as method. But the likelihood often returns inf-values which L-BFGS-B

Dear R-users I am trying to "vectorize" a function so that it can handle two vectors of inputs. I want the function to use phi (a function), k[1] and t[1] for the first price, and so on for the second, third and fourth price. I tried to do the mapply, but I dont know how to specify to R what input I want to be vectors (k and t)(see in the bottom what I tried). I have read the help file,

> > >What do you recommend for keeping track of user >activities? For preserving bash histories I followed >these recommendations: > >http://www.defcon1.org/secure-command.html > Interesting reading but, as others have noted, of limited use. Keystroke logging can be disabled by - as others have noted - either spawning another (perhaps different) shell, using a remote

...018 Process smbd (pid: 18877, stackpage=c28b7000) Stack: c020213b c020227f 00000045 00000000 00000200 0000050c c28b7e8c 00000000 c013251e c2099900 00000000 c2e7d7c0 00000001 c2099900 00000000 0000050c 00000000 c28b7f54 00000513 00000000 c28d5000 c2e7d7c0 00000200 00000000 Call Trace: [tvecs+35755/73400] [tvecs+36079/73400] [__block_prepare_write+238/544] [cont_prepare_write+473/736] [fat_get_block+0/288] [fat_prepare_write+38/48] [fat_get_block+0/288] [generic_file_write+929/1344] [default_fat_file_write+34/96] [fat_file_write+45/64] [sys_write+214/256] [system_call+52/64] [sta...

Hi all, I have a dataset of individuals where the variable ID corresponds to the identification of the household where the individual lives. rel.head stands for the relationship with the household head. so rel.head=1 is the household head, rel.head=2 is the spouse, rel.head=3 is the children. Here is an example to see how it looks like: df<-data.frame(ID=c("17100",

hi all, out of a matter of fact I am still using llvm version 1.5. I don't know how 1.6 works in this matter. When translating a complex c application to llvm bytecodes, some semantics are lost: Take for isntance the interesting attribute to put a variable in the thread local data section (.tdata), this would be interesting to have in llvm. like in GCC you write: int x