search for: b1x

...ructor Ergonomics Graduate Student Department of Kinesiology School of Health, Physical Education, and Recreation Indiana University O:(812)856-5924 wwyatt at indiana.edu -------------------------------------------------------------------- -------------- next part -------------- //orginal line b1x<-cbind(c(0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0...

Hello , I want to compare two quadratic regression models with non-parametric bootstrap. However, I do not know which R package can serve the purpose, such as boot, rms, or bootstrap, DeltaR. Please kindly advise and thank you. Elaine The two quadratic regression models are y1=a1x^2+b1x+c1 y1= observed migration distance of butterflies() y2=a2x^2+b2x+c2 y2= predicted migration distance of butterflies (based on body mass) x= body mass of butterflies null hypothesis: a1=a2 and b1=b2 and c1=c2 bootstrap to test if the coeffients (a, b, c) of the y1 and the y2 model differ [[...

...colnames(data3)<-c("firm","year","industry","X","Y","Z") final1<-rbind(data1,data2) final2<-rbind(final1,data3) final2 final3<-final2[order(final2$industry,final2$year),] final3 I need to estimate a linear model Y = b0 + b1X + b2Z by industry and year, to obtain the estimates of b0, b1 and b2 by industry and year (for example I need to have de b0 for industry 20 and year 2000, for industry 20 and year 2001...). Then I need to calculate the fitted values and the residuals by firm so I need to keep b0, b1 and b2 in a way...

...ructor Ergonomics Graduate Student Department of Kinesiology School of Health, Physical Education, and Recreation Indiana University O:(812)856-5924 wwyatt at indiana.edu -------------------------------------------------------------------- -------------- next part -------------- //working line b1x<-cbind(c(0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0...

...option within lm, is there another way rather than creating new data frames that are defined by a given cluster label? Thanks again for your help. library(stats4) #Define the Models #Two simple linear models: #Model A: respA = a0 + a1x + e(a), e(a) ~N(0, sigma^2(a)) #Model B: respB = b0 + b1x + e(b), e(b) ~N(0, sigma^2(b)) a0= 0; a1 = 1.5; sigmaA=4; b0=50; b1=-2; sigmaB=4; n=250; min=0; max=50; #Generate Data from the Models x1 = runif(n, min, max); #Explanatory variable eA = rnorm(n, 0, sigmaA); eB = rnorm(n, 0, sigmaB); respA = a0 +a1*x1 + eA; respB = b0 +b1*x1 + eB; #Responses...

...isson{VGAM} mean? zero An integer vector, containing the value 1 or 2. If so, *ë* or *theta*respectively are modelled as an intercept only. If set to NULL then both linear/additive predictors are modelled as functions of the explanatory variables. To fit a simple model like log(theta/(1-phi))=bo+b1x, which value of zero should i use 1 or 2 or NULL? Please help me its urgent! Thanks! [[alternative HTML version deleted]]

Hello, I am work with two quadratic regression models y=ax^2+bx+c with the function of lm. y1= observed migration distance of butterflies(y1=a1x^2+b1x+c1) y2= predicted migration distance of butterflies (based on body mass) (y2=a2x^2+b2x+c2) x= body mass of butterflies Now I would like to check the two regression model differ by testing if the coeffients (a, b, c) of the y1 and the y2 model differ (null hypothesis: a1=a2 and b1=b2 and c1=c...

depends on "autoconf: regenerate configure scripts with 4.4 version" This series removes some of the really old deadwood from the tools build and makes some other things which are on their way out configurable at build time with a default depending on how far down the slope I judge them to be. * nuke in tree copy of libaio * nuke obsolete tools: xsview, miniterm, lomount & sv *