search for: 0.09

Both of the approx functions work correctly individually, but they are not being distinguished in the for loop by the if statments. Any help would be appreciated. for loop of interest is below x <- (structure(list(Site = structure(c(2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,

Greetings all, I am having difficulty transposing, reshaping, flipping (not sure which) a data frame which is read from a DBF file. I have tried using t(), reshape() and other approaches without success. Can anyone please suggest an way (elegant or not) of flipping this data around ? The initial data is like propsum (defined below), and I want it to look like tpropsum once reformed. >

Dear R help, I tried to add linear fit lines in intxplot by adding "index.cond = function(x,y) coef(lm(y ~ x))[1]" inside the intxplot().? It didn't help.? I would appreciate any help. My dataset and codes are pasted below. Thanks, A.K. datGreen<- read.table(text=" Time,??? DarkSt,??? LightSt 0,??? 0,??? 1 1,??? 0.03,??? 0.82 2,??? 0.06,??? 0.91 3,??? 0.12,??? 0.64 4,???

Hi, I have been using lm in R to do a linear regression and find the slope coefficients and value for R-squared. The R-squared value reported by R (R^2 = 0.9558) is very different than the R-squared value when I use the same equation in Exce (R^2 = 0.328). I manually computed R-squared and the Excel value is correct. I show my code for the determination of R^2 in R. When I do not set 0 as the

Dear Group, I have the following data matrix which is a timeseries. > dput(tData) structure(list(A = c(0.2, 0.13, 0.05, 0.1, 0.02, 0.18, 0.09, 0.06, 0.13), B = c(0.15, 0.06, 0.09, 0.02, 0.03, 0.12, 0.01, 0.15, 0.06), C = c(-0.1, 0, -0.07, -0.06, -0.05, -0.05, -0.06, -0.08, -0.07), D = c(-0.15, -0.05, -0.1, -0.03, -0.13, -0.04, -0.1, -0.04, -0.15), E = c(-0.17, -0.16, -0.08, -0.07, -0.09,

Is this a bug somewhere? The format function, using a specific number of digits, doesn't give sensible results: R> set.seed(2);print(x<-rexp(5)) [1] 1.86535 0.40475 0.14665 1.73071 0.08953 R> format(x,digits=1) [1] "1.87" "0.40" "0.15" "1.73" "0.09" R> format(x,digits=2) [1] "1.87" "0.40" "0.15"

Dear all, Does any one knows why should I get the following error message, when trying to do a simple data.frame?? DataF<-data.frame(Subject,BiomR,Spp,Capas,Litter,Herbs,LitterD,MaxCanH,DDifS p,DSSp,Slope, CanDens,NearestSp) Erro em data.frame(Subject, BiomR, Spp, Capas, Litter, Herbs, LitterD, : arguments imply differing number of rows: 202, 0 The data I am using

hello, i'm pete ,how can i order rows of matrix by max to min value? I have a matrix of membership degrees, with 82 (i) rows and K coloumns, K are clusters. I need first and second largest elements of the i-th row. for example 1 0.66 0.04 0.01 0.30 2 0.02 0.89 0.09 0.00 3 0.06 0.92 0.01 0.01 4 0.07 0.71 0.21 0.01 5 0.10 0.85 0.04 0.01 6 0.91 0.04 0.02 0.02 7 0.00 0.01 0.98 0.00 8 0.02

Dear Guys, I do converting codes from Fortran into R and got stuck in solving LOOPING procedure with R. In FORTRAN, it is (DO and END DO) for looping in the net. In R, it is (FOR with { }). I believe there is something wrong with my coding in R, do hope that you can help me solving following problems. It seems easy, but results are not the same.

Hi all, I have 2 questions: 1)How do I calculate the mean on an imported txt file? I've imported the file below and that's what it looks like imported. How do I then calcuate the mean, median, or mode on the column LeafArea using the desktop R package? Any help would be greatly appreciated!! Thanks, Nat LeafType Leaflets LeafArea ShapeRatio LeafWeight LeafThickness 1 1

Dear R-help gurus (and T.Yee, the VGAM maintainer) - I've been banging my head against the keyboard for too long now, hopefully someone can pick up on the errors of my ways... I am trying to use optim to fit a zero-inflated negative binomial distribution. No matter what I try I can't get optim to recognize my initial parameters. I think the problem is that dnbinom allows either

I was hoping that there might be some way to attach significance code like the ones from summary.lm to a dataframe. Anyone know how to do something like that. Here is the function i'd like to add that functionality to: add1.coef <- function(model,scope,test="F",p.value=1,order.by.p=FALSE) { num <- length(model$coefficients) add <- add1(model,scope,test=test) sub <-

--------------------------------------------------------------------- Red Hat, Inc. Security Advisory Synopsis: Denial of service attack in in.telnetd Advisory ID: RHSA-1999:029-01 Issue date: 1999-08-19 Updated on: Keywords: telnet telnetd Cross references: --------------------------------------------------------------------- 1. Topic: A denial of service attack has been fixed in

Hi, I have a 3d array as below, I want to make this array to a matrix of p=50(rows) and n=20(columns) with the coverage values . The code before the array is: library(binom) Loading required package: lattice pi.seq<-seq(from = 0.01, to = 0.5, by = 0.01) no.seq<-seq(from = 5, to = 100, by = 5) cp.all = binom.coverage( p = pi.seq, n = no.seq , conf.level = 0.95, method = "exact")

Dear all, I'm new here, I'm starting to learn R (oh my God!!). So, now I'm in panic because I have this situation: TIPO Avariato A 0.05 B 0.09 A 9 B 8 A 9 B 3 and this is what I would like to do: Avariato A B Avariato 0.05 0.09 Avariato 9 8 Avariato 9 3 I don't know how to do it. I need to use reshape? how? thanks for your reply. Spigo -- View this message in context:

Hi all, I've recently switched to the latest rt kernel available from http://people.centos.org/hughesjr/kernel-rt And one of the two problems I'm having with this new kernel is that the logs have been flooded with nagios alerts which indicate high percentage (50-60) of packet loss when pinging localhost. The problem shows up several hours after the system reboot. Any ideas on what might

Hi I'm hoping someone can help me I am a relative newbie to R. I have data that is in a similar format to this... Experiment Score1 Score2 X -0.85 -0.02 X -1.21 -0.02 X 1.05 0.09 Y -1.12 -0.07 Y -0.27 -0.07 Y -0.93 -0.08 Z 1.1 -0.03 Z 2.4 0.09 Z -1.0 0.09 Now I can easily have a look at the overall correlation of score 1 and 2 by doing this plot(data[,2], data[,3]) or fit <-

Hi all! I know this is quite offtopic, but I found nothing in google nor in the net-snmp mailing list, and I know there''s a lot of people here graphing with snmp+rrdtool. I installed net-snmp 5.1.2-6.1 in Debian to produce graphs for some ethernet interfaces. It seems it''s not reporting correct values for them. Here''s my snmpd.conf (very simple) and the output from the

Hi >i have this data > X [1] 5.79 1579.52 2323.70 68.85 426.07 110.29 108.29 1067.60 17.05 22.66 [11] 21.02 175.88 139.07 144.12 20.46 43.40 194.90 47.30 7.74 0.40 [21] 82.85 9.88 89.29 215.10 1.75 0.79 15.93 3.91 0.27 0.69 [31] 100.58 27.80 13.95 53.24 0.96 4.15 0.19 0.78 8.01 31.75 [41] 7.35 6.50

Hi - I was wondering if anyone came across a problem such as mine! I was trying to create a user-defined function, however, the results from calling the function are unexpected! When passing X parameter as a single value variable (x<-c(3)), everything works fine. However, when passing a parameter as a vector with multiple values (as the case in my code), the 'if condition' is only