search for: brittani

Is there any way that I can see the step by step code for functions in the base package? For instance the dexp function. I am a student working on writing my own function for something that is similar to this dexp function and I would like to see the step by step code. Brittany Laine GTA WVU Statistics Department 331 Hodges

Hello,   I am trying to calculate predicted values derived from one dataset into a hypothetical dataset. I tried this line of code:   graphdata$fmgpredvalues <- predict(Acs250.3.4, graphdata)   and received the following error message:   ERROR: ZXend[1], drop = FALSE] %*%lmeFit$beta   I have made sure all variable names are the same between the two datasets and all factors are appropriately

On Thu, 2015-01-08 at 09:35 -0700, Warren Young wrote: > Once a thing becomes reliable, it stops being technology. Oh No. Just because something works well it does not stop being "technology" unless the USA people, who have decimated my language (English), have a new definition for "technology". Warren are you serious that things that do not work well are

Dear all, The following problem just has been submitted to me by an accountant. In his new job, he has to close some old accounts. He has yearly amounts, and a list of products that have been bought over the years, at certain prices for which he has an exhaustive record. The problem is: He does not know what product was bought this or that year (don't ask). He does not want to find back

Dear useRs, French reading people among you might be interested by the following book: Noel, Y. (2013). Psychologie statistique avec R [Statistical psychology with R, in French], coll. PratiqueR, Paris: Springer. http://www.springer.com/psychology/book/978-2-8178-0424-8 This book provides a detailed presentation of all basics of statistical inference for psychologists, both in a fisherian

Dear users, I would like to plot several histograms superimposed on the same panel with different colors, with superimposed polygons appearing with transparency effects. I also want estimated densities to appear on the same plot. For several reasons, including that I like it, I want to use the lattice package. I have several questions regarding the use of the 'histogram' function with a

Hello everyone. I would like to create many objects with R. Does R support objects? The number of objects needed is not predetermined and it is a parameter specified by the user. If the user selects to create many objects like 100, would it be possible to handle each one by some index? I would like to thank you in advance for your help. Best Regards Alex [[alternative HTML version

Hello,   I am fairly new to R and having a problem with the lme command. I have searched on forums, read the Fox 2002 chapter, and R help, but the suggestions that I have tried have not helped me.   My data file is called Acsdata.   This is my script:   Acsdata.1 <- lme(Acsdata$gsi ~ Acsdata$asitotal + Acsdata$famstrto + as.factor(Acsdata$GEN) + Acsdata$asxfs + Acsdata$asxpar + Acsdata$asxgp +

Dear R-users, I wanted to inform you that a new package called R2STATS is available, as a graphical front-end for the glm() and glmer() functions. The GUI is based on the RGTk2 and gWidgets packages by Michael Lawrence and John Verzani, and so requires that the GTK+ library be installed first on your system. This is done "automagically" when installing the RGtk2 package (or the

> I am struggling to install GTK+ for Windows 7. RGtk2 needs this > package to load. Does anybody know of a installation file that works? > > GTK+ is automatically installed when you install the RGtk2 package (you'll be asked about it during installation). As of R-2.14.1, it is installed under the R tree, so if you had write access when installing R itself, you should have no

Can anyone suggest a package or code for modeling a hysteresis process in R? I'm currently modeling a certain dataset with a GAM using mgcv, something like gam(y~ s(x, by=z) + z, family = Gamma(link=log),data=data) and getting fits with about 9 estimated degrees of freedom in the smooth for each value of z. FWIW, z is a treatment applied to a system which should have made an improvement,

Dear all, I am trying to learn Bayesian inference and Bayesian data analysis, I am new in the field. Would any experts on the list recommend any good sites or materials for beginners? My approach is to learn and understand the theory first, then program on my own using R, though I see there are already packages. appreciate any help, thanks in advance!

I'm an SPSS user trying to make the transition to R. Can someone help me translate the following SPSS code into R?: GLM Total_tp1 Total_tp2 WITH Age Sex   /WSFACTOR=Time 2 Repeated   /METHOD=SSTYPE(3)   /CRITERIA=ALPHA(.05)   /WSDESIGN= Time   /DESIGN= Age Sex Age*Sex. Also. can anyone recommend any resources to help SPSS users learn to things in R? Thanks, -kristi [[alternative HTML

Hello all, To anyone who is interested, I'm trying to learn a bit more about developing applications in R with user interfaces. I've been playing around with gWidgets to develop a model building interface. I'd appreciate any comments, suggestions, or guidance on how to better structure my R code and organize the programming task. In addition, any suggestions for features and

Hi, I have a seemingly common problem but I can't find a proper way to approach it. Let's say we have 5 samples (different size) of IC circuits coming from 5 production lines (A, B, C, D, E). We apply two different non-destructive QA procedures to each sample, producing to sets of binary outcomes (passed: no/yes). So, we have two groups of proportions: QA1 QA2 no/yes no/yes A

Hi, I am wondering if anyone knows how to perform an F-test on the change in R square between hierarchical models in R? SPSS provides this information and a researcher that I am working with is interested in getting this information. Alternatively, if someone knows how I can calculate the test statistic (SPSS calls it F-change?) and dfs that would be helpful as well. The output and the test I am

I want to run Shapiro-Wilk test for each variable in my dataset, each grouped by variable groupFactor. I have these working commands: > data.n<-names(data) # put names into a vector called data.n > by(eval(parse(text=(paste("data",data.n[3],sep="$")))), data$factor, shapiro.test) #run shapiro.test but I must to change the variable number manualy. How to automate

How can i replicate this in Linux: source(file.choose()) I've tried source(tkgetOpenFile()) but with no luck

Hi, I am trying to normalize some data. First I fitted a principal curve (using the LCPM package), but now I would like to apply a transformation so that the curve becomes a "straight diagonal line" on the plot. The data used to fit the curve would then be normalized by applying the same transformation to it. A simple solution could be to apply translations only (e.g., as done after a

Hello Helpers, I have some problems with fitting the model for my data... -->my Literatur says (crawley testbook)= Non-normality of errors-->I get a banana shape Q-Q plot with opening of banana downwards Structure of data: origin wt pes gender 1 wild 5.35 147.0 male 2 wild 5.90 148.0 male 3 wild 6.00 156.0 male 4 wild 7.50 157.0 male 5 wild 5.90