search for: substrates

Hi, there I'm trying to get the value of the Mean Square from the ANOVA model summary that comes from specifying the error term, and am wondering if one can actually do this ( I know it's possible when using anova(lm) objects and the like, but I'm having a tough time with it under this framework). There does appear to be some indexing in the output of this type, but perhaps not

Hi all, I have a very easy questions (I hope). I had measure a property of plants, growing in three different substrates (A, B and C). The rest of the conditions remained constant. There was very high variation on the results. I want to do address, whether there is any difference in the response (my measurement) from substrate to substrate? x<-c('A','A','A','A','A','B...

I'm just getting to grips with using ode function and have used the examples and vignettes to produce a small model of a one-pool, michaelis-menten, enzyme kinetic reaction. The rate of flux of substrate into pool A is constant (fluxoa) however the rate of flux out of pool A is controlled by the HMM equation (v = Vmax/ ( 1 + (Km / Concentration A )) ). This function works fine and

Hi there, I am fairly new to R and I have been trying to figure out how to separate a column of substrate data that I have into separate parts using R. An example of my data looks like this is: gmtTime Classification ClassValue Species Count 1449 Sand 30 1449 Mud 70 Brittle Star 1 1449 Mud 70

Hi, I'm analyzing experimental results where two different events ("T1" and "T2") can occur or not during an experiment. I made my experiments with one factor ("Substrate") with two levels ("Sand" and "Clay"). I would like to know wether or not "Substrate" affects the occurrence probability of the two events. Moreover, for each

Hi all; I'm trying to display a 2 panel plot for the Puromycin data from R with 2 different non-linear models fitted to each group. The problem is that as far as I know panel.number doesn't work in the latest version of R. Can anyone give a hint how to solve this? Here is the code that I used before and now doesn't work xyplot(rate ~conc| state,Puromycin,

Hi, my question is not exactly about R... What I am looking for are hints and directions on suitable methods (available in R or elsewhere) to solve a grouping (or pattern recognition) problem of environmental features in an environmental gradient as described below. Given environmental sampling data set (Depth, Presence of sand, Presence of boulders, Presence of clay). 1 1 1 0 1 1 0 0 1 1

UseRs, I am working on a dataset (see small example below) where individuals were followed on a specific date-time combo and multiple repeated measurements were taken (e.g., height in meters, behavior class in 2 letter code). Observation numbers varied between individual (ranging from 1 observation for each date-time combo to >50) I am trying to summarize the data into 1 row per

1) deleting path/to/(Something) Word Word Anotherword--Word Word.pdf IO error encountered -- skipping file deletion I think either the -- is causing it to fail, or more likely, the next filename, which it didn't bother to print out, which has an ampersand in the name, causes it to fail. I am using SSH as a substrate, of course, and I think you guys failed to escape things, so the ampersand

...;params' argument is needed Data-set-2: --------------- Keough and Raimondi (1995) examined the effects of four biofilm types (SL: sterile unfilmed substrate, NL: netted laboratory biofilms, UL: unnetted laboratory biofilms and F: netted field biofilms) on the recruitment of serpulid larvae. Substrates treated with one of the four biofilm types were left in shallow marine waters for one week after which the number of newly recruited serpulid worms were counted, as given below: biofilm=c("SL", "SL", "SL", "SL", "SL", "SL", "SL"...

Hi! I wish to know if there is any R forum which is meant only for Statistics? I mean where we can clarify our statistics doubts and seek knowledge. I know there are lot many books and internet sites, but 'R forum' has altogether different standard and very high level and one can learn a lot from them. Regards Vincy [[alternative HTML version deleted]]

...gt; > Data-set-2: > --------------- > Keough and Raimondi (1995) examined the effects of four biofilm types (SL: > sterile unfilmed substrate, NL: netted laboratory biofilms, UL: unnetted > laboratory biofilms and F: netted field biofilms) on the recruitment of > serpulid larvae. Substrates treated with one of the four biofilm types were > left in shallow marine waters for one week after which the number of newly > recruited serpulid worms were counted, as given below: > > biofilm=c("SL", "SL", "SL", "SL", "SL", "SL&q...

Hello: I would like to run a Cox proportional hazards regression on crayfish dislodgement at different water velocities by crayfish size class and substrate (rock) type. Additionally, there is a covariate variable, rock movement that may be influencing crayfish dislodgment. So... I have crayfish size class (CFSZCL) and substrate type (SUBSZ) as fixed factors influencing the dislodgment of

...;params' argument is needed Data-set-2: --------------- Keough and Raimondi (1995) examined the effects of four biofilm types (SL: sterile unfilmed substrate, NL: netted laboratory biofilms, UL: unnetted laboratory biofilms and F: netted field biofilms) on the recruitment of serpulid larvae. Substrates treated with one of the four biofilm types were left in shallow marine waters for one week after which the number of newly recruited serpulid worms were counted, as given below: biofilm=c("SL", "SL", "SL", "SL", "SL", "SL", "SL"...

Dear all, I want make correction depth of a bathymetric data set. To do so, I have the depth data set sample every second (a depth at each second) in one hand, and in the other hand, I have a tide variation level data set sample every 250 ms. The time register in each data sets (tide and bathymetric) is express in seconds followinf this format : hh:mm:ss.ss I would like to rectify the depth

Dear R users, Could somebody please help me to find a way of comparing nonlinear, non-nested models in R, where the number of parameters is not necessarily different? Here is a sample (growth rates, y, as a function of internal substrate concentration, x): x <- c(0.52, 1.21, 1.45, 1.64, 1.89, 2.14, 2.47, 3.20, 4.47, 5.31, 6.48) y <- c(0.00, 0.35, 0.41, 0.49, 0.58, 0.61, 0.71, 0.83, 0.98,

Dear R_Users, I am confronted to a technical issue that I wouldn't even know how to start to handle and where to look at. It is about data manipulation in a dataframe and value substitution Imagine I have a matrix describing a set of chemical equations. Colnames are Components names and Rownames are Reaction names Each cell in that matrix corresponds to the stoechiometric coefficient to the

Dear all, I've taken a subset of data from a data frame using crb<-subset(all.raw, creek %in% c("CR") & year %in% c(2000,2001) & substrate %in% ("b")) this works fine, except that all of the original factor levels are maintained. This results in NA's for these empty levels when I try to do summaries based on factors using by(). Is there a simple way to drop

Hey All, I’m attempting to gather stats on usage of the “metal”, by which I mean the physical host’s hardware. I would like to know the CPU, IO, and network stats for the hardware. Normally I would get these from /proc/stat, /proc/diskstat, and ifconfig respectively. However, because of the segregation of VMs and Dom0’s special relationship as a paravirtualized I don’t know if I can trust this

Sorry this may well be defined as Off Topic. I apologize in advance. I am interested in performing what I think would be a probabilistic sensitivity simulation. I've done some crude ones before in excel but I'm wondering if R can help me do it more effectively? I have a set of theoretical variables for simplicity lets use (what I think) is an easier example: I have a peg and a hole