search for: meanscore

Hi, I am new to lattice graphics and have the following question. I have a dataframe d2: cat PointsInTime MeanScore 1 Parent Intake 26.25000 2 Youth Intake 9.75000 3 Worker Intake 20.63636 4 Parent Discharge 24.00000 5 Youth Discharge 15.60000 6 Worker Discharge 23.90909 and to produce a plot I am using the following code print(xyplot(MeanScore ~ PointsInTime, d2, groups = c...

hello R-friends, I'm looking for a quantile function for the noncentral f-distribution in the area of equivalence hypotheses testing. Can somebody help me? Many thanks ----------------------------------------------------------------- Dipl. Inform. J. Hedderich Institut f?r Medizinische Informatik Phone : 0431 / 5973182 und Statistik im Klinikum an der CAU

...blighty boot bootstrap bqtl car cclust cfa chron cluster cmprsk coda conf.design cramer date diamonds dse e1071 ellipse event.chart exactRankTests fastICA fdim fields foreign fracdiff gafit gee geoR gld gregmisc gss ineq leaps lgtdl lmtest locfit logspline lokern lpridge maptree maxstat mclust mda meanscore mgcv mlbench muhaz multiv mvnmle mvtnorm netCDF nlme nlrq norm odesolve oz panel pcurve permax pinktoe pixmap polymars polynom princurve pspline quadprog quantreg rmeta rpart rpvm scatterplot3d sem sgeostat sm sma sn sna splancs sptests spweights strucchange survival tensor tree tripack tseries two...

...arious platforms), please consider taking over as maintainer of the respective package. Otheriwse we will orphanize the packages after the release of R 2.1.0 in 10 days. In addition, the Orphaned directory of CRAN currently contains anm,2004-09-30,1.9.1 fdim,2004-09-30,1.9.1 kza,2005-01-15,2.0.1 meanscore,2004-09-30,1.9.1 npmc,2004-09-30,1.9.1 phyloarray,2004-09-30,1.9.1 seao.gui,2004-09-30,1.9.1 seao,2004-09-30,1.9.1 twostage,2004-09-30,1.9.1 We try hard to keep all packages on CRAN working "out of the box", hence we need to remove packages that are no longer actively maintained. Best,...

Hi! I have a data.frame "data" and splitted it. data <- split(data, data[,1]) This is a quite slow procedure; and I do not want to do it again. So, any unsplit and "resplit" is no option for me. But: I have to cbind "variables" to the splitted data from another list, that contains of vectors with matching sizes, so for (i in 1:length(data)) { data[[i]]