search for: sprucing

Dear all, I have a tree data matrix. For some trees I lack info about tree species, but I want to set them to be spruce. For some reason the tree species names on the remaining (non-NA) rows are changed into numbers (that I do not recognise). I guess that ifelse is not the correct function to use, but I have not found any better one in my searches. Thanks in advance! Sincerely, Tord >

Dear all, I have written a function for calculating the volume of a tree (=trad) or snag (=h?gst). The included volume regreesion model includes ten parameter values, which are tree species specific. bj?rk.formh?jd.pars is an object which includes the parameter values (parameter set) for birch (=bj?rk). There is one row per tree in the data object. > relev.kols[1:5,

Dear r-list, I've got a data base: > HData[1:10,] NumTree Site Species Date Age DBH H IdentTree 1 1 Queige Spruce 2002 184 49 33.5 Queige 1 2 2 Queige Fir 2002 NA 5 4.6 Queige 2 3 3 Queige Fir 2002 25 8 6.6 Queige 3 4 4 Queige Spruce 2002 198 47 32.5 Queige 4 5 5 Queige Fir 2002 200 59 35.3 Queige 5 6 6 Queige

I couldn't really find anything about this in the archives, sorry if it's been beat to death. I've got a Debian Linux box running kernel 2.0.33. The machine has two ethernet cards and does NAT between a LAN and a cable modem link. For some reason, it's got 127.0.0.1 listed for its name: root@spruce:/var/samba>cat wins.dat "SPRUCE#20" 914324043 127.0.0.1 46R

Hello, I have a data set with 9700 records, and 7 parameters. The data were collected for a survey of forest communities. Sample plots (1009) and species (139) are included in this data set. I need to determine how species are accumulated as new plots are considered. Basically, I want to develop a species area curve. I've included the first 20 records from the data set. Point

I've been a R-user for quite some time. The graphic on the home page looks a bit in need of polish so I applied some antialiased transformations that Peter Dalgaard has previously posted to R-help for improving graphic quality. I had to change the margins a bit, but here is what it looks like: http://www.broad.mit.edu/~finnyk/Rhome.jpg Personally, I think it looks much better. Because

Hi, I'm attempting to calculate the 0.25 and 0.97 quantiles for tree height (0-50 meters) against tree age (0-300 years) and I am running into some difficulty with the plotted grafic. I've run the examples in the quantreg help and can get those to work properly and by plugging in my data I can also get the lines plotted on my dataset. Unfortunately I'm running into a problem with the

Given the data structure below and the call to ggplot2, how can I increase the size of the axis scale points, the line weight, and the size of the legend? ddata <-structure(list(year = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), .Label = c("2003", "2007"), class = "factor"), area = structure(c(7L, 6L, 1L, 2L, 3L, 4L, 5L, 7L, 6L, 1L,

Hi, I have set up a Fedora Core 3 machine with Samba 3.0.9 to act as a PDC file and print server. Everything works fine but I am having problems adding new machine accounts. When I try to add them manually using "/usr/sbin/useradd -g machines -d /dev/null -c "Spruce" -s /bin/false SPRUCE$", I get the error message: "invalid user name 'SPRUCE$'". I can add

Hi. I have data which i would want to assess the degree of agreement between two assays, e.g., to evaluate reproducibility or for inter-rater reliability. I have used the Pearson product-moment correlation coefficient. It looks good ranginging between 0.90 to 0.998. Though this looks good. I am told the Concordance correlation coefficient will give a better picture of how reproducible the assay

Dear R-helpers, This may sound simple to you, but I'm a beginner in this, so please be forgiving. I have a following problem: two analytes were measured in patient's blood on 4 occasions: ProteinA and ProteinB. How to correctly evaluate correlation between ProteinA and ProteinB? I tried: x <- data.frame(Patient.ID=rep(1:10, each=4), Visit=rep(c(1:4),10), ProteinA=rnorm(m=10,

I like the merb-style exception pages where there''re links to open the files listed in the stack trace in TextMate and the source around each line a lot so I stole the idea (and the code!) and made a patch for Rails: http://dev.rubyonrails.org/ticket/10401 Here''s how it looks like in Merb: http://yehudakatz.com/wp-content/uploads/stacktrace.gif What do you guys think?

Dear developers, I have jutst started working with caret and all the nice features it offers. But I just encountered a problem: I am working with a dataset that include 4 predictor variables in Descr and a two-category outcome in Categ (codified as a factor). Everything was working fine I got the results, confussion matrix etc. BUT for obtaining the AUC and predicted probabilities I had to add

Okay, I've been working with Samba for a few years now, and I've figrued it out mostly on my own. Now I'm stuck and this problem is slowing down a MAJOR project in my shop. Our solid SuSE 7.3 server's network is dying randomly. All services, not just Samba (2.2.1a) go out. However, it always happens when someone is accessing DVD projects from our NT 4.0 Spruce authoring

Hello, I have made an R script that prepares a NONMEM dataset and I would like to start the NONMEM run right after the dataset is ready. I am using windows XP, R 2.9.1 and NONMEM 6. I have prepared a run.bat file that looks like this: ---------------------------------------- call K:\nmvi\NMdirectories.bat call K:\nmvi\nmfe6 "path\control.txt" "path\output.txt"

Hello, I am analyzing some climate time series data using the Mann Kendall package and was wondering if there was a way to calculate the trend using Sen's nonparametric estimator slope in R? Thank you in advance, Barry _________________________ Barry Baker, Ph.D. Global Climate Change Initiative The Nature Conservancy 2424 Spruce St., Suite 100 Boulder, CO 80302 Tel: (303)-541-0322 Fax:

Hello everyone, I am new to R, I have been using SAS for a while. Not surprisingly, I find R much better in graphics, which is publication ready right away. Recently, I have been trying to calculate some basic statistics using R. I have a dataset of multiple rows per subject. For example: Subject Date Factor1 Factor2 Factor3 P1 0.5 1 1 3 P1 1 3 2 5 P1 2 3 5 NA ... P2 0.5 1 6 4 P2 1 2 NA 7 P2

Dear R-helpers, I am working with 'cph' models from 'rms' library. When I build simple survival models, based on 'Surv(time, event)', everything is fine and I can make nice plots using plot(Predict(f, time=3)). However, recently I tried to be more specific and used 'Surv(start, stop, event)' type model. Using this model 'plot(Predict(f))' works OK, but

Hello, I am unable to figure out how to code a new column in a data frame based on an existing column that matches a column in a reference data frame, in a relational-db fashion. I would like this to maintain a minimum set of reference tables that may be reused over several similar datasets. Specifically, I have two data frames as listed below, 'Bos' and 'tree.' For each case in

Hi everyone, I hope someone can help me with a problem I'm having with Cisco 7940 phones on the SIP 8.12 image. When I place a call from one of the handsets, the call proceeds as normal for 20 seconds and is then terminated by Asterisk (1.4.26.2): [Oct 3 10:08:55] WARNING[1650]: chan_sip.c:1981 retrans_pkt: Maximum retries exceeded on transmission 00215553-