similar to: non-linear correlation

I have created an xyplot of a time series with the following code... win.graph(width = 10, height = 7) panel1 = function(x, y) { panel.loess(x, y, lwd=2.5, span=0.5, col="gray") panel.xyplot(x, y, pch=19, col="blue", cex=1.25) } xyplot(oneplusdensity ~ year, data=figdata, aspect="fill", cex=1.5, xlab=NULL, ylab=expression("Crabs per

I need to do a somewhat complex rearrangement of an existing dataframe that involves an "on-the-fly" conditional summary as well. I've tried to make the example as simple as possible. Code to produce the object being acted on is at the end of the message. I hope this isn't too much for a single posting. Any guidance will be much appreciated. The input example looks like

Hi R users! I have the following problem: how appropriate is my aov model under the violation of anova assumptions? Example: a<-c(1,1,1,1,1,1,1,1,1,1,2,2,2,3,3,3,3,3,3,3) b<-c(101,1010,200,300,400, 202, 121, 234, 55,555,66,76,88,34,239, 30, 40, 50,50,60) z<-data.frame(a, b) fligner.test(z$b, factor(z$a)) aov(z$b~factor(z$a))->ll TukeyHSD(ll) Now from the aov i found that my model

Sorry if this is a stupid question, I'm a beginner and I didn't find help in manuals, archives, or web I have a z matrix of this type: a b c d 786-30.s2.gpr 0.2186214 1.3374486 89.37757 9.066358786-31.s1.gpr 1.0931070 1.3245885 81.37860 16.203704786-31.s2.gpr 0.5529835 1.3374486 86.43261 11.676955786-32.s1.gpr 0.6815844

Hi, I am new to lattice graphics and have the following question. I have a dataframe d2: cat PointsInTime MeanScore 1 Parent Intake 26.25000 2 Youth Intake 9.75000 3 Worker Intake 20.63636 4 Parent Discharge 24.00000 5 Youth Discharge 15.60000 6 Worker Discharge 23.90909 and to produce a plot I am using the following code print(xyplot(MeanScore ~

Dear R-Users, I have the CDF of a discrete probability distribution. I now observe a change in this CDF at one point. I would like to find a new CDF such that it has the shortest Kullback-Leibler Distance to the original CDF and respects my new observation. Is there an existing package in R which will let me do this ? Google searches based on entropy revealed nothing. Kind regards, Tolga

Hi, I try to make a histogram from a variable that contains the number of shoots from about 1000 individuals from a specific plant species (the range is 1-110). Those numbers are highly skewed to the right. My question is: how can I make my own classes with the lattice "histogram"? I tried it with "breaks=c(0,5,10,15,20,25,110)" but my "25-110"-class is presented

Greetings! I have an issue with an R editor (namely Tinn-R). A few weeks ago all of a sudden the backspace, enter and direction keys were not working. I updated Tinn-R to the newest version but still no sollution. After this I tried reinstalling it (prior to that I removed Tinn-R and deleted all the "leftovers" manually) and still no change. In every other execution (e.g. when I save a

I am working on a Windows XP machine with R 2.10.1 and a recent installation of MiKTeX 2.8. I use LyX (www.lyx.org) to write documents and have it set up to run Sweave, Stangle, and make the PDF through R using a batch script and a MakeSweave.R file. This system worked just fine until I ran some MiKTeX updates yesterday. This is a bit embarrassing as I helped produce a "How-to" guide to

Dear all, I would like to fit a non-linear model of the form: y=g*x/(a+b*x) with nls(). However this model is somehow overparameterized and I get the error message about singular gradient matrix at initial parameter estimates. What I am interested in is to make inference about parameters b and g, so this has to be taken into account in the model formulation. What options do I have? Also, how is

I am a new R user and so I thought I could start with "Using R for Introductory statistics" by Verzani. In order to use some of the functions and datasets I have to install the simpleR package which is is now inside the UsingR package. I did so using >install.packages("UsingR"). However, the functions such as "simple.freqpoly.R" do not work. I also tried to

Dear list, I would like to produce a plot of variables where the size of the points will be indicative of their standard errors. How is that possible? Thank you! [[alternative HTML version deleted]]

Dear all, I am trying to define a selfStart function for a non-linear model, which is a log-transformed SSmicmen model with multiplicative errors and so it is required to make them additive: log(y)=log(a)+log(x)-log(1+x/b) Any ideas about how to use the "peeling" method to derive the "initial" argument and get the initial values? Thank you for being always there!:)

Please specify your goal in the oracle/psql analytical functions you know or specify what you mean by nonlinear correlation Sent from my iPhone > On Apr 9, 2016, at 6:09 AM, Muhammad Bilal <Muhammad2.Bilal at live.uwe.ac.uk> wrote: > > No its not. I am doing all these experiments for my own learning purpose. I am Oracle SQL & PLSQL programmer and I can do these things with

The goal is to test a developed model against two sets of hypothetical data, where the relationship between on data set is linear whereas non-linear (e.g., polynomial) with another. However, the distributions of the v1 and v2 should not be other than normal or slightly positively skewed or slightly negatively skewed. In Oracle, random data is generated with packaged function

Dear all, I have a for loop which includes nls model estimation. The loop breaks after the first non-convergence error. How can I make the loop continue and try to estimate all models? I suppose it should be sth like: if(...) { next } but I have no idea how to setup the arguements... Thank you! Irene

Hi Bert, Thank you for the quick response!? In its current?state?the code?prints three lines that say "warning". What I was expecting is that I would?get?a matrix with 4 columns, 1. column names (from the original data, ex. Lake1) 2. breakpoint year 3. slope 4. slope difference from the first to the?second segment of the segmented regression. Each row in the matrix would be the results

On 5/22/2018 11:32 AM, Bailey Hewitt wrote: > Hi Bert, > > Thank you for the quick response! > > In its current?state?the code?prints three lines that say "warning". What I was expecting is that I would?get?a matrix with 4 columns, 1. column names (from the original data, ex. Lake1) 2. breakpoint year 3. slope 4. slope difference from the first to the?second segment of

Data and code as promised: #Creating a test dataset Year<- c(2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014) Lake1<- c(2, 4, 5, 2, 1, 1, 2, 3, 4, 5, 6, 2, 3, 1, 2) Lake2<- c(1, 3, -1, 4, -2, 1, 2, 3, 4, 5, 6, 2, 3, 1, 2) Lake3<- c(1, 2, 5, -3, 1, 1, 2, 3, 4, 5, 6, 2, 3, 1, 2) Lake4<- c(1, 1, 1, 1, 1, 1, 1, 250, 240, 240, 240, 240, 240, 239,

I have a Samba 3 server that is trying to sync with itself. I have wins support = yes in the samba configuration file and there are no other WINS servers on the network. The IP address of the Samba server is 192.168.10.4 and is trying to sync with itself but fails... Here's the error from log.nmbd [2005/08/10 12:34:21, 0] nmbd/nmbd_nameregister.c:register_name_response(130)