similar to: subcripts on data frames (PR#9885)

Full_Name: Joerg Rauh Version: 2.5.0 OS: Windows 2000 Submission from: (NULL) (84.168.226.163) Following Michael J. Crawley "Statistical Computing" on page 9 the worms.txt is required. After downloading it from the book's supporting website, which is http://www.bio.ic.ac.uk/research/mjcraw/statcomp/data/ I visually check the data against the book and they look identical. Then I do

Hi Helpers: I have a factor object that has 314k entries of 39 land cover types. (This object can be coerced to characters neatly should that be easier to work with.) > length(foo) [1] 314482 > foo[1:10] [1] Montane Chaparral Barren Red Fir Red Fir [5] Red Fir Red Fir Red Fir Red Fir [9] Red Fir Red Fir 39 Levels:

All, I'm trying to analyze the results of a reciprocal transplant experiment using lme(). While I get the error-term right in aov(), in lme() it appears impossible to get as expected. I would be greatful for any help. My experiment aimed to identify whether two fixed factors (habitat type and soil type) affect the development of plants. I took soil from six random sites each of two types

Would anybody be able to advise on which package would offer the best approach for producing a model able to predict the probability of species occupation based upon a range of variables, some of them catagorical (eg. ten soil types where the numbers assigned are not related to any qualitative/quantitative continuum or vegetation type) and others continuous such as field size or vegetation height.

Hello all, I have a *.csv file that looks like this (actual file is orders of magnitude larger): Site taxa no.ind forest LMA 1 forest LCY 1 forest SCO 1 meadow LMA 2 meadow LCY 1 meadow PNT

Dear All, I would like to make partial sums (or means or any other function) of the values in intervals along a sequence (spatial transect) where groups are defined. For instance: habitats<-rep(c("meadow","forest","meadow","pasture"),c(10,5,12,6)) observations<-rpois(length(habitats),2)

I have a vector of land cover class data from a GIS: > landcov[1:10,2] #the first ten examples of a large (100k+) object 1 2 3 4 5 6 7 8 9 10 12 12 01 12 01 15 15 15 15 15 etc. I also have a lookup table for the class data that gives the cover type as a string: > cnd.names #the look up table, i.e., landcov[3,2] == 1 == "Montane Meadow" CndVal

hello all R experts, how do I calculate the reliability between the two groups using the ICCs? I'll appreciate your reply, Thanks Sincerely, Supreet kaur, Biomedical research engineer, Nationwide Childrens Hospital, Columbus, OH (614)355-3509 [[alternative HTML version deleted]]

I am new to R. I have a data set like this (given below is a fictional dataset): AgeCat FINWT 1 98 2 62 1 75 3 39 4 28 2 47 2 66 4 83 1 19 3 50 I need to calculate the weighted distribution of the variable AgeCat. In SAS i can do: proc freq data=ageval; tables agecat; weight finwt; run; What or is there an equivalent in R? TIA, Krishnan -- Krishnan Viswanathan 1101 High Meadow Dr

I am trying to put my app on heroku, following the instructions, when I get here I get this error: $ git push heroku master Enter passphrase for key ''/c/Users/Laurence/.ssh/id_rsa'': Counting objects: 277, done. Delta compression using up to 2 threads. Compressing objects: 100% (246/246), done. Read from remote host heroku.com: The connection was aborted fatal: sha1 file

Hi all Bear with me on this one... We have a problem connecting to a specific port via Oracle TNSPING There are two PC's in our office that are on the same network as the server (i.e. my desktop PC can not get to the server) The server has multiple network interfaces, the primary is a gigabit fibre card on IP xx.16. The secondary is a megabit card on IP xx.80 The tnsping command fails

I have the following sample dataset (CSV input here:http://goo.gl/YR8LP. CSV output here: http://goo.gl/EFCC8) which I want to transform as follows. For each person in a household I want to create two new variables OrigTAZ and DestTAZ. It should take the value in TripendTAZ and put that in DestTAZ. For OrigTAZ it should put value of TripendTAZ from the previous row. For the first trip of every

From Peter Dalgaard announcement earlier today. CHANGES IN R 3.4.3: INSTALLATION on a UNIX-ALIKE: * A workaround has been added for the changes in location of time-zone files in macOS 10.13 'High Sierra' and again in 10.13.1, so the default time zone is deduced correctly from the system setting when R is configured with --with-internal-tzcode (the default on

Hi, I am trying to work with the ape package, and there is one thing I am struggling with. When calling the *read.GenBank()* function, I can get it to work with an object created like this: *>x <- c("AY395554","AY611035", ...)* *>read.GenBank(x)* However, I am trying to use the function to fetch several hundred sequences at once. So I have been testing with small

Mark Thanks for pointing this out. I did a default installation of R. Does this mean that I need to reinstall from the command line? Dennis Dennis Fisher MD P < (The "P Less Than" Company) Phone / Fax: 1-866-PLessThan (1-866-753-7784) www.PLessThan.com <http://www.plessthan.com/> > On Nov 30, 2017, at 6:42 PM, R. Mark Sharp <rmsharp at me.com> wrote: > >

dear R-friends, i`ve got a large dataset of vegetation-samples with about 500 variables(=species) in the following format: 1 spec1 1 spec23 1 spec54 1 spec63 2 spec1 2 spec2 2 spec253 2 spec300 2 spec423 3 spec20 3 spec88 3 spec121 3 spec200 3 spec450 . . this means: sample 1 (grassland) with the species (=spec) 1, 23, 54, 63 is it possible to get a following data-structure for further

I am trying to recode a variable into another variable and while the package 'car' works well when it is only recoding A into B, I am not sure I can do the same with recoding (A or C) into B. If i can use recode please advise on how to. So i am using an if/else if conditions. My sample dataset is below along with the code and the warning and results i get. TIA Krishnan #****Code****

Hello Everyone,   Does anyone have the R code for this book? I contacted the author about this and was told that it used to be on the book's website, but that the publisher had asked that it be taken down. I'm hoping that someone will have downloaded the code when it was available, and that they will be willing to share it with me.   The book is almost 1,000 pages long and I'd like to

Hi,) I am just getting started with R but have hit an early snag. I am working through Crawley (2008) The R Book and on page 6, 'Significance Stars', I am trying to enter the commands given. However, 'Gain.txt' does not seem to have been downloaded when I downloaded the R programme. I have searched for it in case it put it somewhere other than 'temp' but I cannot find it.

Hello R-help, I'm studying an example in the R book.? The data file is available from the link below.http://www.bio.ic.ac.uk/research/mjcraw/therbook/data/fertilizer.txt Could you explain Why the results from lme() and lmer() are different in the following case? In other examples, I can get the same results using the two functions, but not here...? Thank you.Miya library(lme4)library(nlme)#