similar to: boot package

Dear list, i'm a new R user, so I apologize if the topic is already being addressed by some other user. I'm trying to determine if the reproductive success of a species of bird is related to a list of covariates. These are the covariates: ? elev: elevation of nest (meters) ? seadist: distance from the sea (meters) ? meanterranova: records of temperature ? minpengS1: records

Hello, I would like to know more about how to use the "apply" family and have attempted to convert nested "for" loops in example code from Contributed Documentation ("The Friendly Beginners' R Course? by Toby Marthews (ZIP, 2007-03-01)") to an "apply" function(s). The relevant code is: distances=c(51,65,175,196,197,125,10,56) #distances of 8 houses

Hello, I am struggling to understand how denominator degrees of freedom and subsequent significance testing based upon them works in nlme models. I have a data set of 736 measurements (weight), taken within 3 different age groups, on 497 individuals who fall into two morphological catagories (horn types). My model is: Y ~ weight + horn type / age group, random=~1|individual I am modeling

Dear List Members, I'm presently carrying out morphological analysis of a data set of neuronal structures. These are essentially 3D binary trees. In due course I will be trying to use discriminant analysis or other methods to classify these neurons based on morphological variables such as total tree length, segment number etc. I would like to calculate a 3D convex hull for a set of X,Y,Z

Hello everyone, I am totally new to the R program. I have had a look at some pdf documents that I downloaded and that explain how to do many things in R; however, I still cannot figure out how to do what I want to do, which is to perform Discriminant Correspondence Analysis on a rectangular matrix of data that I have in an Excel file. I know R users frown upon Excel and recommend converting Excel

Hi all, I'm a newbee using R. I need to do a classification tree using the rpart package. Basically I have a set of birds of known sex and several morphological measurements and we want to predict the sex using the morphology. I read my csv file and it shows up in R no problem, looks fine but when I execute the following rpart command

Hi, I'm trying to do a non-metric multidimensional scaling using isoMDS. However, I have some '0' distances in my data, and I'm not sure how to deal with them. I'd rather not drop rows from the original data, as I am comparing several datasets (morphology and molecular data) for the same individuals, and it's interesting to see how much morphological variation can be

Dear all, I need to do a Manova but I have an unbalanced design. I have morphological measurements similar to the iris dataset, but I don't have the same number of measurements for all species. Does anyone know a procedure to do Manova with this kind of input in R? Thank you very much, Naiara. -------------------------------------------- Naiara S. Pinto Ecology, Evolution and Behavior 1

I am using R2.6.0 on “Windows Small Business Server 2003”. I apologize if the answer to my question is available…I have searched but have not found anything that I thought helped me. I have a dataframe that contains ~4.5 million rows and 5 columns. (see memory and df details below). I am trying to save the dataframe to a MS SQL Server database, using the “sqlSave” function. The code

I am trying to apply a permuation-based MANOVA (Anderson 2001) to a set of morphological data from three ecomorphs of fish reared under two different conditions and measured at two points during ontogeny. I will supply a distance matrix based on Procrustes distances calculated outside of vegan. I have not found an example of a design such as this for adonis. However, I have designed my factors

Hello Stephen, I am happy that you help me. Thanks a million. It is a good feeling that you confirm my assumption that dsvdis is not able to deal with missing data, because it says me that I am not completely incapable. Okay now I have the problem what to do. I used this function ´cause there is an option to weight columns differently what I haven´t found in other functions. But now I

Hi all, This is both a general and r specific question. I am analyzing some morphological data and have performed a MANOVA on the 5 groups with 5 measured morphological traits. The results provide me with some pairwise comparisons, but I would like to run a multiple comparison test on the results so that I could look at all pairwise comparisons, but have been unable to find a way to do it. I

Dear R users, I'm happy to announce the release of version 0.3 of the udpipe R package on CRAN (https://CRAN.R-project.org/package=udpipe). The udpipe R package is a Natural Language Processing toolkit that provides language-agnostic 'tokenization', 'parts of speech tagging', 'lemmatization', 'morphological feature tagging' and 'dependency parsing' of

Dear R users, I'm happy to announce the release of version 0.3 of the udpipe R package on CRAN (https://CRAN.R-project.org/package=udpipe). The udpipe R package is a Natural Language Processing toolkit that provides language-agnostic 'tokenization', 'parts of speech tagging', 'lemmatization', 'morphological feature tagging' and 'dependency parsing' of

Dear R-user, For the "matplot" of the following data drawn by >matplot(t, pch=1) structure(c(2372L, 2494L, 2170L, 2238L, 1918L, 715L, 1573L, 2437L, 2481L, 1881L, 440L, 2165L, 343L, 121L, 597L, 1163L, 1459L, 2093L, 1454L, 1761L, 1872L, 174L, 2040L, 552L, 1403L, 6381L, 1649L, 4136L, 4415L, 10650L, 12111L, 4397L, 9593L, 7040L, 3888L, 8340L, 11475L, 11413L, 3985L, 1077L, 7723L, 1392L,

Dear R-users, I am exploring disease spread in trees. I have locations for diseased trees in 2004 and 2005 and want to know whether the patterns are independent. I would like to use both the 'gcross' and 'kcross' functions (in spatstat). I imported the data from two text files and created point objects using as.ppp. I then created a marked planar point pattern using ppp. I am

Hello. I'm interested in creating a Hebrew stemmer to use with Xapian. Hebrew is a complicated language to stem, as it uses the semitic "root" system, rather than prefixes and suffixes, and has many irregularities in accidence (morphology). Fortunately, two bright fellows from the Technion University in Israel have already created a Hebrew morphological analyzer as part of their

Hello list, we have two samba servers on two localities with bigger distance between them. On both localities there are organizational staff working. And I am trying to configure homedirectories for all of staff in this way: - all users will have same beginning part of URL path where is their homedir located (i.e. \\files.example.com\loginname) for unification and central acces - but because

I am following instructions online for cluster analysis using the mclust package, and keep getting errors. http://www.statmethods.net/advstats/cluster.html These are the instructions (there is no sample dataset unfortunately): # Model Based Clustering library(mclust) fit <- Mclust(mydata) plot(fit, mydata) # plot results print(fit) # display the best model This is what I did and the error I

Dear R-lister and Prof. Harrell, To Prof. Harrell: I feel very sorry to bothering you. The ecological data usually do not follow strictly-defined normal distribution. So, there are many more works before any parametric testing or any regression modeling-fitting . Tens of days ago, when I ask for proper methodology of outliers treatment in the data processing, Prof. Harrell ever adviced me to