search for: subject1

...) size <- rep(3,10) shortest <- rep(444,10) startlab <- rep(444,10) endlab <- rep(444,10) startconf <- rep(444,10) endconf <- rep(444,10) steps <- sample(1:30,10) time <- sample(1:300,10) #creating example of text file and saving into a shared director with other txt files subject1 <- cbind(sub1,trial,size,shortest,startlab,endlab,startconf,endconf,steps,time) write.table(subject1, "C:Folder/R/subject1.txt", sep=" ") #2nd example of same text file sub <- rep(2,10) trial <- seq(1,10,1) size <- rep(3,10) shortest <- rep(444,10) startlab <-...

Hi, I'm new to R, and I have searched helpfiles and this forum on my 2 questions. Hope you guys can help me out! :-) Many thanks in advance! Cheers, Lars Q1: I imported a csv file with columnames subject and class. There are about 1000 different classes... It looks like this: subject1, class1 subject1, class2 subject2, class1 subject2, class3 ... subject999, class1 subject999, class2 Now I want to transform this in R into a table (with columnnames subject,class1,class2,...) like: subject1, yes, yes, no, ... subject2, yes, no, yes, ... ... Q2: I want to count the matching class...

*Respected Sir, I have a simple question regarding plots of time series in R. I have to plot "conc" against "time" **for each individual and display in the same panel for the in-built dataset "Indometh" in R. * ***I have six time series, say subject1.ts, subject2.ts, ............., subject6.ts. The observations are taken at an interval of 0.25 hr. All of the series ranges from 0.25hr to 8.00 hr. How can I plot all the six time series in the same panel**?* *I am eagerly waiting for your reply. Thanks in advance.* [[alternative HTML version d...

...in group 0, and then again I have values for each subject in group 0 (intercept column) and group 1(Group1 column). The same is with slope. What does this data show me? What is the difference between defining random factors as `1+RT|Group:subject` and then looking at Intercept and RT values for 0:subject1, 0:subject2...., 1:subject1, 1:subject2... and defining random factors as `RT*Group|subject` and looking at the various columns (Intercept, RT, Group1, RT:Group1) for subject1, subject 2 etc.? Thank you, Dominik [[alternative HTML version deleted]]

Hi I would like to transform a data frame like Subject Item Score Subject 1 Item 1 1 Subject 1 Item 2 0 Subject 1 Item 3 1 Subject 2 Item 1 1 Subject 2 Item 2 1 Subject 2 Item 3 0 .... *to * Subject Item1 Item2 Item3 .....Item N Subject1 1 0 1 Subject2 1 1 0 ........ SubjectP.. Apologize for the simple nature of my query but I am stuck. How can I do this transformation? Regards Ajay Websites- http://decisionstats.com http://dudeofdata.com Linkedin- www.linkedin.com/in/ajayohri...

...am performing in R is correct. Indeed using the function aov I get the following error:"In aov (......) Error() model is singular" The structure of my table is the following: subject, stimulus, condition, sex, response Example: subject stimulus condition sex response subject1 gravel EXP1 M 59.8060 subject2 gravel EXP1 M 49.9880 subject3 gravel EXP1 M 73.7420 subject4 gravel EXP1 M 45.5190 subject5 gravel EXP1 M 51.6770 subject6 gravel EXP1 M 42.1760 subject7...

...> Subject Item Score >> Subject 1 Item 1 1 >> Subject 1 Item 2 0 >> Subject 1 Item 3 1 >> Subject 2 Item 1 1 >> Subject 2 Item 2 1 >> Subject 2 Item 3 0 >> .... >> *to * >> >> Subject Item1 Item2 Item3 .....Item N >> Subject1 1 0 1 >> Subject2 1 1 0 >> ........ >> SubjectP.. >> >> Apologize for the simple nature of my query but I am stuck. How can I do >> this transformation? >> >> Regards >> >> Ajay >> >>...

...statistics, and/or (2) I'm fairly new to R, so the problem may be related to my ignorance of R syntax. I have tried so many sources, my head is spinning, Here is the basic structure of my data (in longitudinal form): FixedVar1 FixedVar2 RandomVar1 RandomVar2 ... DepVar Subject1 1996 AF A 0.002 800 2.1 1997 AF A 0.002 760 2.1 1998 AF A 0.003 760 2.1 1999 AF A 0.005 760...