similar to: naive question regarding running parallel C code from R

Is there a way I can have R automatically execute the commands in a source file without ever having to use R interactively? If so, what arguments should I pass to the UNIX call to R? I need to do this to run several R jobs in parallel. An alternative may be to have R and an R package behave as a stand-alone application that can be called from the UNIX command line. Is there any documentation on

Hello, I am using odesolve to simulate a group of people moving through time and transmitting infections to one another. In Matlab, there is a NonNegative option which tells the Matlab solver to keep the vector elements of the ODE solution non-negative at all times. What is the right way to do this in R? Thanks, Jeremy P.S., Below is a simplified version of the code I use to try to do this,

A student asked me about simulation he is doing. This simulation presented an interesting R programming puzzle that we did solve but I am not happy with the solution. I feel there should be a better way of doing this. Briefly, he is simulating births and deaths in a linear array of cells. Births and deaths are required to alternate. For a birth, one of the cells is selected at random to be the

On 13 October 2015 at 16:41, Rafael Espíndola <llvm-dev at lists.llvm.org> wrote: >> - *Be welcoming.* We strive to be a community that welcomes and supports >> people of all backgrounds and identities. This includes, but is not limited >> to members of any race, ethnicity, culture, national origin, colour, >> immigration status, social and economic class, educational

Hi! I have a dataset of the lifespans (birth/death date) of about 100,000 people. I also have the birth dates of about 1,000,000 people who are still alive. I also have other information for each of these people including faculty,state,year graduated etc. I would like to do some statistical analysis but since the data is factored i'm having trouble. I looked into using the SVM package to

Friends, I am doing a URL classification, based on certain key words whether it contains an executive information or not. I have already went through 50K URL's and identified the key words and made it as 0, 1 ( 0 - do not have the key word and 1 - have the key word) and 0- do not contain executive information 1 - contains executive information. A sample set of data is shown below. DomainID

Hi, I have a dataframe that contains pedigree information; that is individual, sire and dam identities as separate columns. It also has date of birth. These identifiers are not numeric, or not sequential. Obviously, an identifier can appear in one or two columns, depending on whether it was a parent or not. These should be consistent. Not all identifiers appear in the individual column - it is

Hi, I am working with a leading semiconductor company to help them recruit for several Compiler / Toolchain roles in their team in Austria. The roles are very urgent and although one engineer was offered a position in the team he was counter offered by his current employer. He has told me that a good idea would be to contact the LLVM Development mailing list to ask about posting these positions

Deal list, I have a data frame (birth) with mixed variables (numeric and alphanumeric). One variable "t1stvisit" was originally coded as numeric with values 1,2, and 3. After attaching the data frame, this is what I see when I use str(t1stvisit) $ t1stvisit: int 1 1 1 1 1 1 1 1 2 2 ... This is as expected. I then convert t1stvisit to a factor and to avoid creating a second

Hello Puppeteers! Stanford University Information Technology Services is looking for Unix Systems Administrators. Stanford University not only uses Puppet, but does what it can to contribute to the betterment of Puppet, and we''re looking for good candidates to fulfill our open positions, and I''d love for those new hires to be Puppeteers! So if you are interested, please

I have data that looks like Year,Recruit,Spawner,Mtempcv 1958,4532,775,0.24125 1959,22996,2310,0.16319 1960,628,2990,0.46056 1961,879,1400,0.33028 1962,14747,1130,0.22618 1963,13205,790,0.20596 1964,31793,1195,0.19229 1965,10621,981,0.20363 1966,22271,870,0.3452 1967,8736,1104,0.27511 1968,8761,883,0.10884 1969,18885,1421,0.17799 1970,10098,1198,0.2106 1971,3394,760,0.22098 1972,1697,1354,0.39461

Hi All, I have data on the sequence of births for families with completed fertility cycle (in a data frame); the relevant variables are called b1, b2, b3, b4, b5, b6 and record the birth of the first, second, ..., sixth child. So, b1=1 if the first birth is male, b1=2 if the first birth is female, and b1=NA if the family did not record any first birth. Similarly for b2, b3, b4, b5 and b6. I

Hi all, Rails 2.1 seems to converts the following parameters {''birth(1i)''=''1990'', ''birth(2i)''=>''2'', ''birth(3i)''=>''31''} into date ''1990-03-02'' automatically. Is it able to inhibit this convertion? -- makoto kuata

Dear R users, I am having trouble devising an efficient way to run a loess() function on all columns of a data.frame (with the x factor remaining the same for all columns) and I was hoping that someone here could help me fix my code so that I won't have to resort to using a for loop. (You'll find the upcoming lines of code in a single block near the end of the message.) Here's a

Hi all, I want to make a contingency table in R. I want to tabulate two variables, one as the independent and second as the dependent variable. The IV has two categories, namely, birth complications, and no birth complications. The frequency of birth complication category is fifty, and the frequency of no birth complication category is 34. The categories and frequencies of DV follows.

On Sat, Oct 17, 2015 at 8:24 PM, Pasi Parviainen via llvm-dev < llvm-dev at lists.llvm.org> wrote: > On 14.10.2015 23:36, Chandler Carruth via llvm-dev wrote: > >> * **Be welcoming.** We strive to be a community that welcomes and supports >> people of all backgrounds and identities. This includes, but is not >> limited >> to members of any race,

http://r.789695.n4.nabble.com/file/n3389613/Life_Expectancies_2008.csv Life_Expectancies_2008.csv I am trying to plot a histogram base on the file i uploaded above. I am facing a trouble in sorting out the frequency of the life expectancies. I wanted to plot a graph of life expectancies at birth versus frequency,but i have no idea how to change the locations into frequencies taking the range of

Dear All: I want to do association study based on mixed linear model, My model not only includes serval fixed effects and random effects but also incorporates some covariates such as "birth weight". Otherwise, the size of the data are about 180 individuals and 12 variables and 60000 Fixed effect estimates As asreml-R is not free ,is there any packages for my study? I heard nlme or

Hi All, I'm trying to delete a row from my dataframe "pop" without changing the indexing (column 0) as follows: >pop id birth size xloc yloc weight energy gonad consumed 1 1 36 13 34 43 0 18 0 0 2 2 36 10 39 38 0 18 0 0 3 3 36 10 37 35 0 18 0 0 4 4 36 10 31 25 0

> Dear list, > > I have some data on a geneaology, here is a subset: > warmerge[1:11,c(1,6,25)] > Warrior SibID birth.year > 1100 3793 2013 1926 > 4 2013 2024 1934 > 1094 3769 2024 1918 > 632 2747 2037 1928 > 176 2083 2039 1944 > 187 2085 2039 1949 > 192 2086 2039 NA > 495