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Hi all, I need to run several simple linear regressions at once, using the following data. Response variables: Bird species (sp 1, sp2, sp3...spn). Independent variable: Natprop - proportion of natural area. covarate: Effort = hours). One single linear regression would be: lmSp1 <- lm(sp1~ natprop + effort). However, I need to run this linear regression for all bird species that I have

Hello, I am looking for some help with this question: how could I test structural breaks in a instrumental variables´s model? For example, I was trying to do something with my model with three time series. tax_ivreg <- ivreg(l_y ~ l_x2 + l_x1+ dl_y | lag(l_x2, -1)+lag(l_x2, -2)+ lag(l_x1, -1)+lag(l_x1, -2)+lag(l_y, -1)+lag(l_y, -2), data=tax1) summary(tax_ivreg) ## after estimating it,

Dear R-helpers, Very small amount of outliers can greatly affect the mean and many other statistic of a numeric variable. So, usually we must deal with the outliers properly in the process of data analysis. Here, I want to replace outliers with the group median of the variable. But, I can not construct a good way to do that efficiently, because of I am a newbie to R and programming. Can anybody

Hola, Vaya, en el código que he enviado, cusum no se incrementaba.. Y has indicado que se introduce un año más, con el mismo ID que el anterior y con la misma cantidad acumulada. Pero si el siguiente año es del mismo ID, acumula el valor de la cantidad que hemos introducido en esa fila... Con el siguiente código se resuelve este error y además ya está preparado para contemplar cualquier tipo de

Llego tarde al hilo, pero creo que se llega rápidamente al resultado con la complicidad del paquete "reshape2". Si DT es el data.table que escojo Francisco como ejemplo: > DT ID YEAR CANTIDAD 1: 100 2005 1 2: 100 2005 2 3: 100 2007 1 4: 100 2007 1 5: 100 2007 1 6: 120 2006 1 7: 120 2006 5 8: 120 2006 1 9: 120 2007 3

Dear friends: I have just read an article entitled " Monitoring of nosocomial invasive aspergillosis and early evidence of an outbreak using cumulative sum tests (CUSUM)", which is published in "Clinical Microbiology and Infection". We have great need to estimate the fluctuation of incidence of IFI in our hospital. But I don't know the details of the stastical method and

Hi all! I've written a handy script that uses a for loop to allow me to generate a large number of figures and statistical outputs for a large dataset. I am using indexing to retrieve a species name for the title of my graphs- which worked fine. However, I need to italicize these species names. I originally used the paste function, and had no problems with indexing: *main=paste("Yield

Dear all, Does anyone know where there is R or S code for the CUSUM SQUARED structural breaks approach? (Brown, Durban and Evans, 1975 - used in Pesaran and Timmerman, 2002) The problem is that the breaks package only appears to offer the standard 'unsquared' CUSUM, even though it appears most think it is inferior to the squared version. It might appear to be a relatively simple

Is there any automatic mechanism for extracting a likelihood or test statistic distribution (PDF or CDF) from an object of class "htest" or from another object of a general class encoding a hypothesis test result? I would like to have a function that takes "x", an object of class "htest", as its only argument and that returns the likelihood or test statistic

I need to write a C# program to create and display Cusum chart from any of the packages, spc, qcc or strucchange. Issues: 1-The data resides in a MS SQL Database. The C# program will handle obtaining the data for the requisite types of samples. Assistance needed on: 1-How can I call the cusum capabilities of any of the above packages and pass the data to the cusum function and plot? 2-How

Hi, I have used this command : resamples<-lapply(1:1000,function(i) sample(lambs,replace=F)) resamples2<-lapply(resamples,Cusum) to get a list of 1000 samples of my data. The function Cumsum is defined as follows: Cusum<-function(x){ SUM<-cumsum(x)-(1:length(x))*mean(x) min<-min(cumsum(x)-(1:length(x))*mean(x)) max<-max(cumsum(x)-(1:length(x))*mean(x)) diff<-max-min

Good Afternoon, I am currently writing a program to perform a cusum with v-mask and since I am experiencing a few problems, was wondering if there is something similar in existance? Many thanks in advance, Gavin McCabe Gavin McCabe University of Strathclyde Department of Statistics & Modelling Science Livingstone Tower (Rm. L7.47) 26 Richmond Street GLASGOW G1 1XH U.K. Tel.: +44

Hello R users: I'm trying now to apply the package strucchange to see whether there is a structural change in linear regression. I have noted the following problem that arises in my case with recursive-based CUSUM: generic function recresid() in efp() generates an error, since (probably) it cannot compute the inverse matrix of (X^(i-1)^T)*(X^(i-1)) at each step (i-1), because the matrix

Dear Mao Jianfeng, "r-help-owner" is not the place for help, but: r-help at r-project.org (CC-ed here) In any case, strsplit() does the job, i.e.: > unlist(strsplit("BCPy01-01", "-")) [1] "BCPy01" "01" You can work with the whole variable, like: splitpop <- strsplit(df1$popcode, "-") then access the first part with >

Dear R Community: I am working on a public health early warning system, and I see that the qcc package allows for CUSUM and other statistical quality tests but I am not sure if my project is a good match for qcc functions as written. Any advice you may have is very much appreciated. I have four years worth of daily counts of emergency room admissions for different conditions (e.g. respiratory,

I need to store each matrix generated in a loop. I've been working with the CUSUM algorithm and I've been trying to implement it in R. What I need to do with my dataset is to create 1000 randomized datasets and cumulative sum them all and store all of those randomized CUSUMed datasets for further analysis and creation of the simulation envelope in the CUSUM chart. But I can't manage

I want to apply Nyblom-Hansen test with the strucchange package, but I don't know how is the correct way and what is the difference between the following two approaches (leeding to different results): data("longley") # 1. Approach: sctest(Employed ~ Year + GNP.deflator + GNP + Armed.Forces, data = longley, type = "Nyblom-Hansen") #results in: # Score-based CUSUM

Dear R-help list members, I have the following question concerning the strucchange()-package: is it possible to get the boundaries for one-sided (upper / lower) CUSUM and MOSUM tests? Thank you in advance. Julia

Hi, I want to use four independent variables to predict the output of one dependent variable using a linear model lm. I want to compare all possible combinations of the 4 independent variables, including singles, pairs and triples. I was thinking of using the AIC test to compare all models and pick the best one. The model looks like this : lm(Y ~ X1 + X2 + X3 + X4) Thanks for your help

What are some effective ways to leverage the strengths of R and Mathematica for the analysis of a single data set? More specifically, are there any functions that can assist with any of the following? 1. Calling an R function from Mathematica. 2. Calling a Mathematica function from R. 3. Using XML or another reliable data format to pass vectors, matrices, and/or lists from one environment to