search for: ncstat

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2010 Oct 30
1
summary.lm for post-hoc tests
Let's say I've run Anova(lm(y~a*b)) and found the a:b interaction to be significant. Now I'm interested in which specific level combinations of a and b significantly differ from the control group. Can I use the t-tests from summary(lm(y~a*b)) to answer that question? I saw no mention of multiple comparison in the documentation for summary.lm, so am I right in assuming I need to
2009 Jan 20
1
generalizing expand.table: table -> data.frame
In http://tolstoy.newcastle.edu.au/R/e2/help/06/10/3064.html a method was given for converting a frequency table to an expanded data frame representing each observation as a set of factors. A slightly modified version was later included in the NCStats package, only on http://rforge.net/ (and it has too many dependencies to be useful). I've tried to make it more general, allowing an input data frame in frequency form, and where the frequency variable is not named "Freq". This is my working version: __begin__ expand.table.R expa...
2009 Jun 04
2
wrong labels and colors of points in graph/plot
...problem with the NA values which results in a wrong labeling and to few points being displayed? I'm new to R as you can guess and my code isn't really elegant but I really cannot get faults within it... Attached you can find the referred R object (coefficient2). highlight requires library(NCStats)... Thank you very, very much, Katharina
2012 Sep 10
0
More help need on Von Bertalanffy Growth Curves
...;Length", "Age", "Cohort", "Year"), class = "data.frame", row.names = c(NA, -42L)) Code: BLG=read.csv("BLGa.csv", header=T) attach(BLG) names(BLG) dput(BLG,"") $ Von Bertalanffy Growth Model$ source("http://www.rforge.net/NCStats/InstallNCStats.R") source("http://www.rforge.net/FSA/InstallFSA.R") library(FSA) library(NCStats) library(nlstools) # provide starting values svCom <- list(Linf=199.8132, K=0.5631745, t0=-1.960147) svCom <- vbStarts(Length~Age,data=BLG) # repeat the starting values for each...
2010 Jun 21
1
glm, poisson and negative binomial distribution and confidence interval
...on or negative binomial for the models as for each techniques, the distribution of the counts for a same species can be quiet different. I now need to get a confidence interval for my predicted count and I want to compute the coefficient of variation. It looks like the function pois.ci() (package NCstats) gives a confidence interval for a single given value or bspln() and bsnb() ("degreenet") gives also CI but using bootstrap. I therefore need a vector of counts using those latest function, which I don't have since I have only one predicted values from my Glms. My questions are the...