similar to: Cleaning data

Hi, I wanna modify Dovecot source code.For that,I need to know how can we log a special message into Dovecot source code? I tried to write a function to write a message in a file and added it to Dovecot source code,but it didn't work. I'm wondering if we can use Dovecote logging functions,but I don't know what are those functions and how can we use them. Thanks in advance. --

Hi , I have a problem with NT 4.0 workstation with service pack 3 cant able to login to hp system. From FAQ what i understood is to modify the registry but even after modifying i couldn't able to login from NT 4.0 workstation. Can anybody can able to help me in this matter. Thx Ramesh -- ___________________________ Ramesh Ragineni Ilog (s) Pte Ltd Systems Engineer

Dear list, Below I've written a clunky for loop that counts NA's in a row, replacing all with NA if there are more than 3 missing values, or keeping the values if 4 or more are present. This is sample code from a very large dataframe I'm trying to clean up. I know there are many simpler more elegant solutions to this little problem. Would someone be willing to show me how to

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Hi everybody! I'm sure that I overlook something and feel quite stupid to ask, but I have not found an easy solution to the following problem: Take e.g. the Orthodont data from the nlme package: > head(Orthodont) Grouped Data: distance ~ age | Subject distance age Subject Sex 1 26.0 8 M01 Male 2 25.0 10 M01 Male 3 29.0 12 M01 Male 4 31.0 14 M01 Male

All - I have data: TL age 388 4 418 4 438 4 428 5 539 10 432 4 444 7 421 4 438 4 419 4 463 6 423 4 ... [truncated] and I'm trying to fit a simple Von Bertalanffy growth curve with program: #Creates a Von Bertalanffy growth model VonB=nls(TL~Linf*(1-exp(-k*(age-t0))), data=box5.4, start=list(Linf=1000, k=0.1, t0=0.1), trace=TRUE) #Scatterplot of the data plot(TL~age, data=box5.4,

Hi, I've installed dovecot v2.0.13 from binary files.dovecote starts ok,but I get some errors in /var/run/mail.log : dovecot: anvil: Fatal: Error reading configuration: read(/var/run/dovecot/config) failed: EOF dovecot: master: Error: service(anvil): command startup failed, throttling dovecot: master: Error: service(config): child 8606 killed with signal 11 (core dumps disabled) dovecot:

Dear R-friends, I have to simple questions. First I would like to exclude some columns from a dataframe and after I need select rows that satisfy some conditions. My data frame looks like Region Species Bodysize Weigth Age Africa Sp1 10.2 20 2 Africa Sp2 12.2 12 2 Africa Sp3 15.3 18 3 Africa Sp4 11.5 40 4 Brazil Sp1 10.2 40 3 Brazil Sp2 22.2 32 2 Brazil Sp3 12.3

Dear all i want to estimated the parameter of the gamma density(a,b,d) f(x) = (1/gamma(b)*(a^b)) * ((x-d)^(b-1)) * exp{-(x-d)/a)} for x>d f(x) = Age specific fertility rate x = age when i run this in R by usling nls() gamma.asfr <- formula(asfr ~ (((age-d)^(b-1))/((gamma(b))*(a^b)))* exp(-((age-d)/a))) gamma.asfr1 <- nls(gamma.asfr, data= asfr.aus, start = list(b = 28, a = 1, d= 0.5),

Hi everyone, can anyone tell me how i can change how i display mean(age), i want it to say The mean age of patients within the sample is mean(age) -- View this message in context: http://www.nabble.com/displaying-results-tp23558890p23558890.html Sent from the R help mailing list archive at Nabble.com.

Dear R?ers. I?ve got a dataset with age and year of diagnosis. In order to age-standardize the incidence I need to transform the data into a matrix with age-groups (divided in 5 or 10 years) along one axis and year divided into 5 years along the other axis. Each cell should contain the number of cases for that age group and for that period. I.e. My data format now is ID-age (to one

> str(data) 'data.frame': 250 obs. of 3 variables: $ student: chr "A" "B" "C" "D" ... $ data : num 20.2 20.4 22.5 22.1 23.3 ... $ param : Factor w/ 4 levels "AGE","SCHOOL",..: 1 1 1 1 1 1 1 1 1 1 Hi , i would like to split the dataframe so that each level of param is a column At the end it should look like

Hi, R users, I'm using the "lme" function in R to estimate a 2 level mixed effects model, in which the size of the subject groups are different. It turned out that It takes forever for R to converge. I also tried the same thing in SPSS and SPSS can give the results out within 20 minutes. Anyone can give me some advice on the lme function in R, especially why R does not converge?

Dear list, When using as.POSIXlt with times measured down to microseconds the default format.POSIXlt seems to cause some possibly undesirable behaviour: According to the code in format.POSIXlt the maximum accuracy of printing fractional seconds is 1 microsecond, but if I do; options( digits.secs = 6 ) as.POSIXlt( 1.000002 , tz="", origin="1970-01-01") as.POSIXlt( 1.999998 ,

Hi, Whenever I have a MySQL query that returns a Decimal result to R I get the following warning in R: Warning message: RS-DBI driver warning: (unrecognized MySQL field type 246 in column 1) I get this for a simple query like "SELECT 2, 2.5" !! I am using: R ver 2.1.1 RMySQL ver. 0.5-7 DBI ver. 0.1-10 MySQL Ver 14.12 Distrib 5.0.18. Please Help! Jason

I tried multiple imputation with aregImpute() and fit.mult.impute() in Hmisc 3.8-3 (June 2010) and R-2.12.1. The warning message below suggests that summary(f) of fit.mult.impute() would only use the last imputed data set. Thus, the whole imputation process is ignored. "Not using a Design fitting function; summary(fit) will use standard errors, t, P from last imputation only. Use

Hi, I am trying to run a panel regression where I have a matrix of observations and a matrix of independant variables - examples would trying to predict countries's GDP with their data on education, FDI, tax rates, over time. For the purpose of simplicity, my data would be: dep = matrix(rnorm(50),ncol=5) indep1 = matrix(rnorm(50),ncol=5) indep2 = matrix(rnorm(50),ncol=5) >From what I

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Dear R-help list readers, I am fitting mixed models with the lme function of the nlme package. If I get convergence depends on how the method (ML/REM) and which (and how much) parameters will depend randomly on the cluster-variable. How get the bist fit without convergence? I set the parameters msVerbose and returnObject to TRUE: lmeControl(maxIter=50000, msMaxIter=200, tolerance=1e-4,

I have found the error in my script which was semi-automatically translated from the other person's MATLAB code. The error is that c was assigned a value inside a function. That is the function body contained the following instructions c<-nw*czr d<-nw*cz rFren<-0.5*(abs((cz-c)/(cz+c))^2+abs((d-czr)/(d+czr))^2) firstguess<-c( 0,0,0,3,0.5, 0 , 0 , 0.000001) I have