search for: ovservations

I have encountered a problem with faceted bar plots. I have tried to create something like the example explained in the ggplot2 book (see pp. 126-128): library(ggplot2) mpg4 <- subset(mpg, manufacturer %in% c("audi", "volkswagen", "jeep")) mpg4$manufacturer <- as.character(mpg4$manufacturer) mpg4$model <- as.character(mpg4$model) base <-

Hello, I'm doing some linear regression: >lm<-lm(osas~alp,data) >summary(lm) However, the Rsquared in the output of summary() is not the same as the "standard" Rsquared calculated by spreadsheets, and outlined in statistical guidebooks, being SSR/SSTO. The output says "multiple Rsquared", but it is no multiple regression... What's the difference? Thanks,

...Estimate=as.vector(coeff), Std.Error=as.vector(std.err) ) cat("\n") print(t(z)) cat( "\nR-Square:", object at r.square, "\n\n" ) } ) ols1 <- function( y, x ){ size <- length(x) # number of ovservations xbar <- mean(x) ybar <- mean(y) Sxx <- sum( (x-xbar)^2 ) b <- sum( (x-xbar)*(y-ybar) )/Sxx # coefficient a <- ybar - b*xbar # interception e <- y - a - b*x # residuals # SSE (error sum of squares) SSE <- sum( e^2 ) # SST (total sum of squares) SST <- su...

Hello, since a while I experience a strange problem with my samba 4.4.2 running on a SLES12SP2 system. The server does what it is supposed to do, so users can work without any problems and access their files via smb but since some weeks the server shows a strange and unusual very high system load. The samba server is not the domaincrontroller (which is a windows machine) but member of the