similar to: lm question

I have a large dataset grouped by a factor and I want to perform a regression on each data subset based on this factor. There are many ways to do this, posted here and elsewhere. I have tried several. However I found one method posted on the R wiki which works exactly as I want, and I like the elegance and simplicity of the solution, but I don't understand how it works. Its all in the formula

I have a data frame with data similar to this: NameA GrpA NameB GrpB Dist A Alpha B Alpha 0.2 A Alpha C Beta 0.2 A Alpha D Beta 0.4 B Alpha C Beta 0.2 B Alpha D Beta 0.1 C Beta D Beta 0.3 Dist is a distance measure between two entities. The table displays all to all distances, but the

Hi, When I try to do anything on my samba system a connection is made to IPC$, but this is mapped to a directory /root/tmp. This seems odd. To make matters worse ordinary users cannot access this directory, so the only user who can access the IPC$ share (ie, do anything at all) is the root user. What have I don wrong. I cannot find any reference to IPC$ being linked to a directory

I'd like to do a simple one-way ANOVA comparing the means of 6 groups. But it seems like the only way to do an ANOVA in R is to specify some sort of model, where there is an outcome or dependent variable that is a function of independent variables (linear model). But I don't have a linear model, I just want to do a simple ANOVA (and f-test) to compare the means. How do I do

G'day All, After searching the archive I am no closer to achieving what I want. I've seen lots of posts that suggest this can be achieved but the methods used don't work for me. I won't pretend I understand linux or samba permissions because every time I think I've got it, I turn out to be wrong. So here goes. Let's say I have 3 users & 2 groups. each group has

I fit the model fit<-lm(thresh~cond*Ne) where thresh is the reponse cond is a factor with levels a, b, and c Ne is a continuous indep var I think of this full model as having three lines: thresh as a function of Ne for each condition. Thus we have slopea, slopeb, slopec, inta, intb, intc. lm output my params ------------------------- (Intercept) inta condb intb - inta condc

Hi,  I want to do regression in each group. I made the group the following way. Now I want to run regression in each of the three groups.. Suppose , x<-c(0.5578196,6.5411662,13.2728619,2.0217271,6.7216176,3.37220617,2.5773252,7.2600583,15.3731026,3.4140288,8.1335874,     15..6476637,4.3014084,9.1224379,18.5605355,4.7448394,11.9296663,18.5866354,12.3797674,18.7572812,2.70433816,2.88924220,

I am trying to merge two data frames, but one of the column headings are different in the two frames. How can I rjoin or rbind the tho frames? Johnny # Generate 2 blocks by confounding on abc d1 <- conf.design(c(1,1,1), p=2, block.name="blk", treatment.names = c("A","B","C")) d2 <- conf.design(c(1,1,1), p=2, block.name="blk",

I am having great difficulty plotting what should be a simple graph. I have measured 1 'y' and 5 'x' variables in each of two groups. Linear regression shows significant differences in the slopes of the regression for each 'x' variable between the two groups. All that I want to do is to plot one graph that shows the scatterplot for the three groups (each group represented

Hi, How would one go about determining if the slope terms from an analysis of covariance model are different from eachother? Based on the example from MASS: library(MASS) # parallel slope model l.para <- lm(Temp ~ Gas + Insul, data=whiteside) # multiple slope model l.mult <- lm(Temp ~ Insul/Gas -1, data=whiteside) # compare nested models: anova(l.para, l.mult) Analysis of Variance

I tried installing fedora grpc srpm on CentOS and ran into following error when installing srpm. I understand fedora makes use of more recent versions of openssl, glibc etc but why should this happen when installing source rpm? Any pointers/articles on how to go about building fedora srpms on CentOS? Any way out other than building directly using sources? rpm -i grpc-1.17.1-3.fc30.i686.rpm

Hello, I would like to write a loop to 1) run 100 linear regressions, and 2) compile the slopes of all regression into one vector. Sample input data are: y1<-rnorm(100, mean=0.01, sd=0.001) y2<-rnorm(100, mean=0.1, sd=0.01) x<-(c(10,400)) #I have gotten this far with the loop for (i in 1:100) { #create the linear model for each data set model1<-lm(c(y1[i],y2[i])~x)

Thanks for asking. The path where R tries to load the dll from does not exist I think (or the install process deletes it after the error - might this be the case?): C:/Users/wewol/OneDrive/Documents/R/win-library/3.5/grpc/libs/x64/grpc.dll' When I am checking after the error that path is only valid up to: C:/Users/wewol/OneDrive/Documents/R/win-library/3.5/ So maybe (?) the install process

Hello, I am looking for a prebuild - binary MS Windows version of the R grpc package https://github.com/nfultz/grpc best regards Witek -- Witold Eryk Wolski

Is there any repository/location where we can grab prebuilt grpc packages for CentOS? Any pointers appreciated. Thanks.

Hi I compouted a multiple linear regression with repeated measures on one explanatory variable: BOLD peak (blood oxygenation) as dependent variable, and as independent variables I have: -age.group (binaray:young(0)/old(1)) -and task-difficulty measured by means of the reaction-time 'rt'. For 'rt' I have repeated measurements, since each subject did 12 different tasks. -> so

Not really r-specific: Z = (b1 - b2) / SQRT ( SEb1^2 + SEb2^2) -------Original Message------- From: Gijsbert Stoet <stoet at volition.wustl.edu> Sent: 07/20/03 09:51 PM To: r-help at stat.math.ethz.ch Subject: [R] how to test whether two slopes are sign. different? > > Hi, suppose I do want to test whether the slopes (e.g. determined with lsfit) of two different population are

Hello, We've got a dataset with several variables, one of which we're using to split the data into 3 smaller subsets. (as the variable takes 1 of 3 possible values). There are several more variables too, many of which we're using to fit regression models using lm. So I have 3 models fitted (one for each subset of course), each having slope estimates for the predictor variables.

Sorry for bothering you I am trying to build the R grpc package on windows: https://github.com/nfultz/grpc against an MSYS2 build of grpc. when running devtools::install() I am getting the following error: C:/msys64/mingw64/include/grpc/impl/codegen/port_platform.h:47:2: error: #error "Please compile grpc with _WIN32_WINNT of at least 0x600 (aka Windows Vista)" #error \ ^ Which,

Hi, I'm trying to get confidence intervals to slopes from a linear model and I can't figure out how to get at them. As a cut 'n' paste example: ################# # dummy dataset - regression data for 3 treatments, each treatment with different (normal) variance x <- rep(1:10, length=30) y <- 10 - (rep(c(0.2,0.5,0.8), each=10)*x)+c(rnorm(10, sd=0.1), rnorm(10,