search for: soils

I'm using Samba 3.0.3 on Fedora Core 2 with OpenLDAP 2.1.29 for a backend. I'm getting to typical "The user name could not be found." error upon trying to join a Windows box. I've gone through every digest on lists.samba.org and other sites and nothing has worked yet. Any suggestions: Here's what I've done so far: 1. Installed everything via RPMS: [root@smbtest

...d been getting the grips with this. I have been trying to use Adonis to find out if there are significant difference between groups on data that I have analyses with NMDS, and have been struggling with getting this to work and understanding what is going on. I am looking at diversity in different soils with either woodland or grassland habitats. I have run the scripts library(vegan) library(ecodist) library(MASS) mydata <- read.table("ash_data.csv", header=TRUE, sep=",", row.names="Site") envdata_fit <- read.table("ash_env.csv", header=TRUE, sep=&q...

...of the output: http://169.237.35.250/~dylan/temp/soil_colors-LUV_space.png Somehow the plot() method in the colorspace package is converting color space coordinates to their RGB values... Does anyone have an idea as to how to access these RGB triplets? Thanks in advance! -- Dylan Beaudette Soils and Biogeochemistry Graduate Group University of California at Davis 530.754.7341

...uot;:\n") means <- aggregate(data, list(label), FUN=mean) print(means) } } Here is a sample context-- a randomized block design with two crossed factors (Contour, Depth) and 9 responses (pH, N, ... Conduc). [An R-readable version of the data is appended at the bottom.] > soils <- read.delim("soils.dat") > str(soils) 'data.frame': 48 obs. of 14 variables: $ Group : int 1 1 1 1 2 2 2 2 3 3 ... $ Contour: Factor w/ 3 levels "Depression","Slope",..: 3 3 3 3 3 3 3 3 3 3 ... $ Depth : Factor w/ 4 levels "0-10&quot...

Hello. When one types "summary(fit)", where fit is an object from a call to aov(), one gets an ANOVA table. I want to save just one element of this summary. How does one extract this? As an example, here is my output from a split plot ANOVA: > summary(out)$"Error: soil.cores$block:soil.cores$treatment" Df Sum Sq Mean Sq F value Pr(>F)

After, oh, six months of attempts here and there to read everyone's experiences with Samba/LDAP and inability for a windows 2000/XP machine to join the domain, I finally discovered what was not working properly. In my smb.conf I put: add machine script = /usr/local/sbin/smbldap-useradd -w "%u" As instructed by many How-to's and Idealx. However, I thought to myself, %m

Hi everyone, I have a pile of data derived from an analytical device, which reports values as a continuous distribution. I need to associate classes (based on the Munsell color system) using a standard look-up table - the problem is that I would like to find the *closest* matching entry in the lookup table. I have attempted to do this by first creating as difference vector between color space

Hi, every body! I am a new comer for R, so my question would unavoidablely sounds stupid. Sorry! In my experiment, there are two type of soil ( soil F and soil D), each half of them were subjected to steam sterilize (result in FS and DS soil). A equal volume of soil from two of the four soil types (F, D, FS, DS) were mixed as follows: F+F, F+D, F+FS, F+DS, D+F, D+FS, D+DS, FS+DS (eight

Dear all; First of all, this is probably a more conceptual question than a R-related one, but still want to give it a try. When working with the interpolation function "interp" from the package akima and the triangulation function "tri.mesh" from package tripack I've got NA's for the interpolation and "error" for the triangulation. The data is arranged in a

...rom an rgl call, but, I can't get a traceback or other information because my R session crashes. I've never seen this behavior before. The problem occurs *whenever* I try to supply linear hypotheses to be displayed along with the model terms. Here is a small example: library(heplots) # Soils data, from car package soils.mod <- lm(cbind(pH,N,Dens,P,Ca,Mg,K,Na,Conduc) ~ Block + Contour*Depth, data=Soils) Anova(soils.mod) heplot(soils.mod, variables=c("Ca", "Mg")) ## this works OK heplot3d(soils.mod, variables=c("Mg", "Ca", "Na")) ##...

Is there a way to prevent the re-ordering of factors by aov? I do have a three-way interaction that I do want to fit before a two-way interaction (different factors, so they are not nested), but R moves the two-way interaction to the front. I know it generally makes sense to fit the two-way interactions first, but in this case I think I know what I'm doing. + hv

...ps. acovaleda at hotpop.com wrote: > Hi Sirs and Madams. > > My question is more statistical than related with the use of R software and I > hope it will not seems so silly and elemental. I'm analyzing a set of data > of some soil organism collected in diferent landscapes, soils taxa, and > depths. The sample was performed thinking in a factorial structure with four > factors: Specie, Landscape, Soil and Depth. Because not all the species > appear in each sample there are so many zeros in the matrix data. > > Checking the normal distribution I'm not...

Hello Trying to develop variograms and kriged surfaces from a point file. Here is what I've done so far. library(gstat) # also loads library(sp) library(lattice) soilpts$x <- soilpts$UTM_X soilpts$y <- soilpts$UTM_Y soil.dat <- subset(soilpts, select=c(x, y, Area, BulkDensity, LOI, TP, TN, TC, Total_Mg)) dim(soil.dat) [1] 1292 7 coordinates(soil.dat) <- ~ x+y

Hi, every body! I am a new comer for R, so my question would unavoidablely sounds stupid. Sorry! in my experiment, there are two type of soil ( soil F and soil D), each half of them were subjected to steam sterilize (result in FS and DS soil). A equal volume of soil from two of the four soil types (F, D, FS, DS) were mixed as follows: F+F, F+D, F+FS, F+DS, D+F, D+FS, D+DS, FS+DS (eight treatment).

Hi, I am trying to create a triangular plot to show the 'composition' of a set of items with three variables (historically the percent sand, silt and clay in soil). So far I have tried the 'soil texture triangle plot' in the package plotrix and the 'ternary or triangular plots' in the package cwhtool (cwhmisc). Both have strengths and weaknesses, but neither has a

Dear R community, I am using xYplot() from the Hmisc package. The package works great to plot means + CI. But I am having issues handling the scales. I am plotting "Soil Clay content" vs "Soil depth" by "land use". Usually in this type of graphs it is better to place the variable "soil depth" in the y-axis and it should be ordered downward by depth (0-5

Hello I am trying to fit a REML to some soil mineral data which has been collected over the time period 1999 - 2004. I want to know if the 19 different treatments imposed, differ in terms of their soil mineral content. A tree model of the data has shown differences between the treatments can be attributed to the Magnesium, Potassium and organic matter content of the soil, with Magnesium being the

Dear all, I've used glm(family=binomial(link="logit")) several times, but now I think that a log link is more appropriate. I want to fit a model for probability of tree fall (TF)), with tree diameter (dbh) and soil moisure (soil) as predictors. A large number of trees have been checked every second year whether they stand up (0) or have fallen (1). I assume that the tree fall

Hi I have a netCDF file of volumetric soil water content at four different soil layers and want to convert each soil layer in the netCDF file to a GeoTIFF layer. This code converts the netCDF file to one GeoTIFF layer, i.e. unclear which soil depth. file.nc <- "C:/Soil_Weather_data/Agro/VMC21/VMC21.nc" file.tiff <- "C:/Soil_Weather_data/Agro /VMC21/VMC21" importnetcdf

Hi All, I am trying to lable the y-axis on my scatterplot with the following: "Soil moisture content (m3m-3)" I am using the following coding for plotting the graph: plot(soilmoisture~gradientlevel, xlab="Levels of droughting gradient", ylab="Soil moisture content (m3m-3)", bty="l", font.main="2", pch=16, las=1, cex.lab="1.13") I have