search for: pcilist

While doing pls I found the following problem > BHPLS1 <- plsr(GroupingList ~ PCIList, ncomp = 10, data = PLSdata, jackknife = >FALSE, validation = "LOO") when not enabling jackknife the command works fine, but when trying to enable jackknife i get the following error. >BHPLS1 <- plsr(GroupingList ~ PCIList, ncomp = 10, data = PLSdata, jackknife = >TRUE...

...3 3 3 3 3 4 4 4 4 4 4 4 4 [39] 4 4 > str(GroupingList) int [1:40] 1 1 1 1 1 1 1 1 1 1 ... I am now stuck while conducting the plsr. I have tried various methods of creating structured lists etc and have got nowhere. I have also tried many incarnations of BHPLS1 <- plsr(GroupingList ~ PCIList, ncomp = FeaturePresenceExpected[1], data = FullDataListTrans, validation = "LOO") Where am I going wrong. Also what is the easiest method to identify which of the 94,000 peptides are most important to the variance between groups. Thanks in advance for any help Amit Patel [[alternat...

...dentify the Biomarkers (i.e. most significant peptides). I beleive that PLS with jack knifing, or alternativeley CMV(cross-model-validation) are multivariateThe 40 samples belong to four different groups. I have managed to conduct the plsr using the commands: BHPLS1 <- plsr(GroupingList ~ PCIList, ncomp = 10, data = PLSdata, validation = "LOO") and BHPLS1 <- plsr(GroupingList ~ PCIList, ncomp = 10, data = PLSdata, validation = "CV") I have also used the following command to obtain the loadings BHPLS1_Loadings <- loadings(BHPLS1) Now I am unsure of how to uti...

...ike to create boxplots for any Feature? (y/n):")   if (BoxplotsCheck  == "y"){     BoxplotsFeature <- readline(prompt = "Which Feature would you like to create a Boxplot for?:")     BoxplotsFeature <- as.numeric(BoxplotsFeature)     BoxplotsData <- as.numeric(which(PCIList == BoxplotsFeature))     BoxplotsData <- TotalIntensityList[BoxplotsData,]     BoxplotsHeading <- paste("Tukey boxplot (including outliers) for PCI ", BoxplotsFeature , sep = "")     bplot(as.numeric(BoxplotsData), GroupingList, style = "tukey", outlier = TRUE,...

...hen I call for the loadings of my plsr using the command, x <- loadings(BHPLS1) my loadings contain variable names rather than numbers. >str(x) loadings [1:94727, 1:10] -0.00113 -0.03001 -0.00059 -0.00734 -0.02969 ... - attr(*, "dimnames")=List of 2 ..$ : chr [1:94727] "PCIList1" "PCIList2" "PCIList3" "PCIList4" ... ..$ : chr [1:10] "Comp 1" "Comp 2" "Comp 3" "Comp 4" ... - attr(*, "explvar")= Named num [1:10] 14.57 6.62 7.59 5.91 3.26 ... ..- attr(*, "names")= chr [1:10] &...

Add commands to automatically prep devices for pass-through The current method for passing through devices requires users to either modify cryptic Linux boot parameters and reboot, or do a lot of manual reads and writes into sysfs nodes. This set of patches introduces commands to make this easier. It expands on the concept of "assignable" (from the list_assignable_devices command).

The series introduces auto-generation of the type definitions used in the libxl interface followed by auto-generation of a destructor function for each type. In the future it may be possible to use the related data structures for other purposes, for example auto-generation of the functions to marshal between C and language binding data types. tools/_libxl_types.h should be identical both before