similar to: how to get p-value from ave

Hello, I'm new to R and have been following many guides including the two-way anova (http://www.personality-project.org/r/r.anova.html). Using that walkthrough including the supplied data I do str(data.ex2) and receive the appropriate types of data as follows: > str(data.ex2) 'data.frame': 16 obs. of 4 variables: $ Observation: int 1 2 3 4 5 6 7 8 9 10 ... $ Gender :

Hi, I am trying to reconcile anova table in R (summary(lm)) with individual t.test. datafilename="http://personality-project.org/R/datasets/R.appendix1.data" data.ex1=read.table(datafilename,header=T) #read the data into a table summary(lm(Alertness~Dosage,data=data.ex1)) gives: Call: lm(formula = Alertness ~ Dosage, data = data.ex1) Residuals:    Min     1Q Median     3Q    Max

Hi all, How does R know to regard a variable as a factor and not a character? For example, consider the following table: Observation Gender Dosage Alertness 1 m a 8 2 m a 12 3

Hello list, I want to make a large rulebased algorithm, to provide decision support for drug prescriptions. I have defined the algorithm in a function, with a for loop and many if statements. The structure should be as follows: 1. Iterate over a list of drug names. For each drug: 2. Get some drug related data (external dataset). Row of a dataframe. 3. Check if adaptions should be made to

Hi all. I'm working on an assignment for a psychology class and I am not sure how to adjust the y-axis so it displays the range: 0, 5, 10, 15 The code below is almost ideal: lsd = c(3, 5, 13) mar = c(1, 2, 3) g_range <- range(0, lsd, mar) plot(lsd, type="o", col="blue", ylim=g_range, axes=FALSE, ann=FALSE) axis(1, at=1:3,

Hello to everybody I have vector of drug dosage in string format 1.5 mg , 50 mg , 100 mg , 0.5 mg ... The task is to remove last free symbols: ' mg' Any suggestions are highly appreciated

Hello, I've been playing with the manova() function to do some pretty straightforward multivariate analyses, and I can't for the life of me figure out how to get at the discriminant functions used. When predicting several variables simultaneously, it's important to be able to gauge how much each variable is contributing to the analysis...a simple p-value isn't really enough. I

Hi there, I have a question regarding a data set that looks like the following: 8 repeated measurements for 3 dosage levels. However, the measurements for each dosage levels are taken on a different group of subjects. example: subject time dosage measure 11         1          1          154 11         2          1          150 :          :           :             : 11        

Hi, Does anybody know how to obtain the imputed SNP genotype probabilities from the snpStats package? I am interested in using an imputation method implemented in R to be further used in a simulation study context. I have found the snpStats package that seems to contain suitable functions to do so. As far as I could find out from the package vignette examples and its help, it gives the

> From: Thomas Baier > > > I am confused as to what I need and must do. > > > > Your message said > > ftp://cran.r-project.org/pub/R/src/contrib/Devel/rcom_0.97.tar.gz > > > > The DESCRIPTION file inside that download says > > Package: rcom > > Version: 0.95 > > Date: 2004-07-14 > > That's too bad. Sorry for that. > >

I'm 48, and I can't believe I'm having the best of my life now thanks to cliallis Soft Tabs. The best part is no longer worrying about whether I'll be hard. With this stuff, I am always stiff, without fail. You have to experiment with the dosage and time lag. I started with 20 mg (good to rev my engine, I think) but ultimately found that 10 mg about 15 minutes before is ideal

Hello, I am fitting a Poisson mixed effects model. I have the number of eggs (Eggs) laid by a quail and looking at the effect of dosage of a chemical (Dose) in the study. I have counts of eggs laid by week of the study, so I am including the week number (Week) as a random effect. I'm using the lme4 package. I have, > mod1 <- lmer(Eggs~Dose + (1|Week),family=poisson) >

Dear *, I have to perform an ANOVA analysis to study the effects on the performance of some algorithmic components in the design of my algorithm. I have done a full factorial design for the following 5 factors (my response variable is "best"): $ model :'data.frame': 3360 obs. of 6 variables: ..$ best : num [1:3360] 0.108 0.573 0.625 1.057 0.451 ...

# Can anyone suggest why this works datafilename <- "http://personality-project.org/r/datasets/maps.mixx.epi.bfi.data" person.data <- read.table(datafilename,header=TRUE) # but this does not? dd <- "https://sites.google.com/site/jrkrideau/home/general-stores/trees.txt" treedata <- read.table(dd, header=TRUE)

> datafilename="E:/my documents/r/sex/bysex1.csv" > data.sex=read.table(datafilename,header=T) > data.sex y.sex.age.region.c.n 1 1980,F,A,N,-18.15,13.61 2 1980,F,A,N,-18.61,13.04 3 1980,F,A,N,-18.81,12.32 4 1990,F,A,N,-21.12,11.7 5 1990,F,A,N,-20.77,11.58 6 1990,F,A,N,-21.6,13.34 7 1990,F,A,N,-21.78,12.6 > model.anova<-aov(c~age*sex,data=data.sex)

I'm a journalist, wondering what questions to ask about a study that contrasted the impact on serum cholesterol of two drugs. This was a 40 dog study: 5 treatment blocks of 4 dogs each, randomized to: a control block, two blocks at different doses of drug1 and two at corresponding doses of drug2. Analysis was 2-factor repeated measures ANOVA on treatment group and sampling time. Linear

I'm analysing some ID50 data for 2 different groups and had already calculated this by hand using Reed-Muench formula, when I came across the dose.p function in R. I have 2 queries: 1) dose.p gives me a different answer to Reed-Muench, and actually I suspect wrong answer, given that the dose.p result dosage stated to infect 50% is actually stronger than the dose used in my experiments caused

I've benefited from this list with input on how to build up a symmetrical matrix. The purpose of that query was to work with the output from the MINE routine posted at www.exploredata.net To the extent it helps others, here is the script that I was working on an which turns a given MINE output column (in the case below, the third column corresponding to "MIC") into a matrix.

Hi, I have been trying to calculate summary error and coding statistics on a by subject basis and seem to be writing a lot of code to do a simple thing. I won't go into my messy version. What I am asking is if anyone knows of a single command that could take the following data and get error rates over a given vector. Given data from ss with,,, subj a rt code 1 1 200 good 1 1 321 good

Hello, I am doing a confirmatory factor analysis with package Lavaan. My model consists of 5 factors and I would like to calculate the factor-reliability and the average variance extracted (AVE) for every factor. What function can I use to receive this measures? The Lavaan Package doesn't have this measures. Best regards, Ina [[alternative HTML version deleted]]