similar to: simulation in R

I realized that there was a typo error. I mean "Monte Carlo Simulation" ________________________________________ From: R-help <r-help-bounces at r-project.org> on behalf of Kristi Glover <kristi.glover at hotmail.com> Sent: April 19, 2016 11:48 PM To: R-help Subject: [R] simulation in R Hi R user, Would you mind to help me to find the range with stochastic events? For

Hi R experts, Could you please help me to fit a linear, cubic and quadratic curve in a figure? I was trying to show all these three fitting curves with different colour in one figure. I spent substantial time to figure it out, but I could not. I have given here a example and what I did for linear, but no idea for cubic and quadratic fitting curve > dput(test) structure(list(sp = c(4L, 5L,

hi there, i an beginner of R. some one have sent me a file (extension is .Rdata). i have installed R in my computer and i just double clicked the data. then it automatically opened R programme and displayed that [previously saved workspace restored]. the following message was displayed. Type 'demo()' for some demos, 'help()' for on-line help, or'help.start()' for an

Hi R User, Would you give me your hand to standardize some columns in a matrix? I have included the example table. > dput(test) structure(list(X = c(1, 2, 3, 4, 5, 6), Y = c(4, 5, 6, 7, 8, 9), temp = c(0.818, 0.113, 0.256, 0.587, 0.955, 0.207), oxy = c(0.797, 0.487, 0.727, 0.128, 0.514, 0.031)), .Names = c("X", "Y", "temp", "oxy"), row.names =

Hi R user,I am struggling to figure out on how I can calculate the average from the two tables in R. Any one can help me? really your help would be grateful- I am spending so much time to figure it out. It should not be so hard, I think. I have very big data but I have created a hypothetical data for simplification. for example I have : table 1 table 1: species occurance data

Hi R- User I have very big data set (5000 rows). I wanted to make classes based on a column of that table (that column has the data which is continuous .) After converting into different class, this class would be Unique ID. I want to run regression for each ID. For example I have a data set > dput(dat) structure(list(ID = c(0.1, 0.8, 0.1, 1.5, 1.1, 0.9, 1.8, 2.5, 2, 2.5, 2.8, 3, 3.1, 3.2,

Hi R- User,I tried to load package adehabitat for R version 2.15.0. But, I got error. even I download and save in local drive and tried to install from the local file. but still i got the following errors install.packages("adehabitat", repos='C:/adehabitat_1.8.10.tgz') package ‘adehabitat’ is not available (for R version 2.15.0) > install.packages("adehabitat",

Hi R user, I could not combine two tables. Would any one help me on how I can combine with following example tables? > T1 X Y Z XX A 1 5 9 13 B 2 6 10 14 C 3 7 11 15 D 4 8 12 16 > T2 X Y XX a 1 4 7 b 2 5 8 c 3 6 9 I want to get the following table cT X Y XX A 1 5 13 B 2 6 14 C 3 7 15 D 4 8 16 A1 1 4 7 B1 2 5 8 C1 3 6 9 Thanks for your help. Thanks, Kristi ===

Hello R User, I was trying to display r.squared and p value in table from regression, but I could not display these parameters in the table (matrix) for example individual <- c(1,1,6,8,8,9,9,9,12,12) day <- c(4,17,12,12,17,3,9,22,13,20) condition <- c(0.72, 0.72, 0.67, 0.73, 0.76, 0.65, 0.68, 0.78, 0.73, 0.71) test <- data.frame(individual, day, condition) ind.id <-

Hi R User, I calculated a correlation matrix and I was trying to give a same name for rows and columns (heading) in the correlation matrix. But, I was not able to do so. Would you mind let me know how I can assign the same name for the heading of row and columns in the matrix? I appreciate for your help. cheers, K [[alternative HTML version deleted]]

Hi R User, I was trying to find a final model in the following example by using the Boosted regression trees (GBM). The program gives the fitted values but I wanted to calculate the fitted value by hand to understand in depth. Would you give moe some hints on what is the final model for this example? Thanks KG ------- The following script I used #----------------------- library(dismo)

I have written two functions which do useful things with panel data a.k.a. longitudinal data, where one unit of observation (a firm or a person or an animal) is observed on a uniform time grid: - The first function makes lagged values of variables of your choice. - The second function makes growth rates w.r.t. q observations ago, for variables of your choice. These strike me as

Hi R user, Could you please give me some hints on how I can convert text in table format in R? I was doing model assessment using dismo package for example: bg <- randomPoints(current, 500) pvtest <- data.frame(extract(current, occtest)) avtest <- data.frame(extract(current, bg)) e2 = evaluate(model, p=pvtest, a=avtest) > e2 class : ModelEvaluation n presences : 10 n

Hi R-user, I was trying to make a raster map with WGS84 projection in R, but I could not make it. I found one data set in Google that data is almost the same format as of mine. I wanted to make a raster map of temperature with 1 degree spatial resolution for the global scale. I could make it in GIS software but I do have many variables (to be many raster images) and ultimately I am importing them

I have the following script for generating a dataset. It works like a champ except for a couple of things. 1. I need the variables "itbs" and "map" to be negatively correlated with the binomial variable "lunch" (around -0.21 and -0.24, respectively). The binomial variable "lunch" needs to remain unchanged. 2. While my generated variables do come out

Hi R Users, I tried to increase the legend height in ggplot2, but it did not respond at all using the follwoing code. Do you have any suggestions for me? dat<-data.frame(temperature) P1<-ggplot(dat, aes(X, Y)) Scenario1<-P1+geom_point(aes(colour = value), size = 1)+ theme_bw()+ theme(axis.text.x = element_blank(),axis.text.y = element_blank())

Hi R Users, I created interaction plots in ggplot2 and was trying to add output of two way ANOVA models, especially only interaction ( example treatment*control F(XX, XX) = xxx, p = xxx) into figures, but i was not able to add. Would you mind to help on how I can add information into each figure? I have attached the example data and the code that I used for this. dat<-structure(list(Sites

Sorry for bothering you - but I have a little problem. I`m completely new in R and trying to use lmer. That works, but I m not sure if my code is right, so I would just like to get an opinion from the experts. I have a Growthrate of plants (RGR Fixed Factors: Fertilizer, Status (alien or native plants) and their interaction Random Factors: Age is a covariable; than I have plantfamily and

Dear all, When analyzing data from a climate change experiment using linear mixed-effects models, I recently came across a situation where: - the summary(model) showed a significant difference between the levels of a two-level factor, - while the anova(model) showed no significance for that factor (see below). My question now is: Is the anova.lme() approach correct for that model? And why does

Hi everybody I'm trying to simulate a stochastic process in R. I would like consider n log normal time series. The first time serie has a growth rate lower than the second and so on. the initial time of the first serie is lower than the initial time of the second and so on. In the long run the series have the same value. Do you have any idea at running such a process? Other question: How can I