search for: y21

Hi all, I have a data.frame with the following colnames pattern: x1 y11 x2 y21 y22 y23 x3 y31 y32 ... I.e. I have an x followed by a few y's. What I would like to do is turn this wide format into a tall format with two columns: "x", "y". The structure is that xi needs to be associated with yij (e.g. x1 should next to y11 and y12, x2 should be next...

...rix product function called the horizontal direct product (*~), which is some sort of variant on the Kronecker product. For example if x is 2x2 and y is 2x2 the horizontal direct product, z, of x and y is defined (in the Gauss manual) as: row 1 = x11*y11 x11*y12 x12*y11 x12*y12 row 2 = x21*y21 x21*y22 x22*y21 x22*y22 Or in R code if: x <- matrix(seq(1,4,by=1),2,2, byrow=TRUE) y <- matrix(seq(5,8,by=1),2,2, byrow=TRUE) The resulting matrix, if I had an operator, would be the following matrix z, here formed in a contrived manner: z.1 <- c(5, 6, 10, 12) z.2 <- c(21,24,28,3...

...represents a group index and y represents some measurements. I have three sets of measurements all of which have the same group indices (thus the same x values in the errbar plot). In other words, my data looks like this: X1 (group index), Y11 (measurement), error of Y11 (error in measurement) X2, Y21, error of Y21 ... Xn, Yn1, error of Yn1 // End of the first set of measurements X1, Y12, error of Y12, X2, Y22, error of Y22, ... Xn, Yn2, error of Yn2 // End of the second set of measurements X1, Y13, error of Y13, X2, Y23, error of Y23, ... Xn, Yn3, error of Yn3 // end of the third set of measu...

Hi, We got a question about interpretating R-suqared. The actual outputs for a test dataset is X=(x1,x2, ..., xn). model 1 predicted the outputs as Y1=(y11,y12,..., y1n) model n predicted the outputs as Y2=(y21,y22,..., y2n) ... model m predicted the outputs as Ym=(ym1,ym2,..., ymn) Now we have two ways to calculate R squared to evaluate the average performance of committee model. (a) Calculate R squared between (X, Y1), (X, Y2), ..., (X,Ym), and then averaging the R squared (b) Calculate average Y...

...e simple data probability-value of the F-test, respectively p-value, shown in the summary of a linear model? somehow i can not retrieve this data out of R+ into my sql-dataset. i can get all other data shown with the command: summary(speciallinearmodel) - will have a gui screen Call: lm(formula = y21 ~ x4 + x18 + x4:x18, data = clustertransformationstabelle) Residuals: Min 1Q Median 3Q Max -0.20915 -0.07354 -0.01823 0.04414 0.45191 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -0.003613 0.043142 -0.084 0.933450 x4 0.142373 0.1130...

...t; the F-test, respectively p-value, shown in the summary of a > linear model? somehow i can not retrieve this data out of R+ > into my sql-dataset. i can get all other data shown with the command: > summary(speciallinearmodel) - will have a gui screen > > Call: > lm(formula = y21 ~ x4 + x18 + x4:x18, data = > clustertransformationstabelle) > Residuals: > Min 1Q Median 3Q Max > -0.20915 -0.07354 -0.01823 0.04414 0.45191 > Coefficients: > Estimate Std. Error t value Pr(>|t|) > (Intercept) -0.003613 0.043142 -0.084 0.93345...

After searching in R- Introduction, FAQ, help... I don't understand this: I write a function in a file (.R): tt <- function(mc) { date() mc<-read.csv2("machines.txt",na.strings="") date() } I source it in R and I type tt(). The answer is > tt() [1] "Mon Aug 14 11:18:25 2000" > The instructions following the first "date()" are ignored. Why?

In my previous mail, I was asking help to fit structural equations models by using Partial Least Square (PLS) approch.I have used package plspm. I want to know how to manage moderating and mediating variables. I also want to show simultanously the graph of internal model and measurement model. Thks. Le jeudi 10 mai 2018 ? 15:42:46 UTC, Michael Dewey <lists at dewey.myzen.co.uk> a ?crit :

Bonjour, Quelqu'un pourrait m'aider avec le code R pour estimer les mod?les ? ?quations structurelles via l'approche PLS,int?grer des variables mod?ratrices et m?diatrices et afficher les graphique simultan? des mod?les interne et de mesure? Cdt. [[alternative HTML version deleted]]