similar to: History pruning

Hello everyone, I am trying to prune a data frame for partial least squares analysis. I need to delete an entire row if one cell in the row contains a NA. Presently, I am running a loop that is supposed to extract the rows that are full of numbers into a second data frame and skips the rows that contain a single NA value. I want to know if there is a simple way to determine if a row

This email isn't asking for assistance, but I thought R-help readers would find it interesting. This week we offered a half-day introduction to R for researchers at Augsburg University. The response was astonishing. Although Augsburg has no medical faculty and no engineers, there was far too much demand, with interest from every faculty (barring theology, "for one small

How can one prune a dendrogram (plot.dendrite, plotrix) based on a minimum level of frequencies?. Franklin.? [[alternative HTML version deleted]]

Hi Franklin, plot.dendrite was not designed to be pruned. I have had a look at the problem, and I may be able to suggest a way to drop values in the "dendrite" object that is the input to plot.dendrite. I'll let you know. Jim On Tue, May 8, 2018 at 11:46 PM, Franklin Mairura via R-help <r-help at r-project.org> wrote: > How can one prune a dendrogram (plot.dendrite,

I have been experimenting with interactive packages such iplots and playwith. Consider the following sample dataset: A B C D 1 5 5 9 3 2 8 4 1 7 3 0 7 2 2 6 Let's say I make a plot of variable A. I would like to be able to click on a data point (e.g. 3) and have a pop-up window tell me the corresponding value for variable D (e.g. 4). I am also trying to produce multiple

Hi all! The randomForest in R enables us to prune the trees using the nodesize feature where we can stop splitting a node if it contains less than the specified no.of of records/entities at that node. However is there a way to stop the tree growing after a specified number of levels. To be more clear on what I mean by a level. Level 0 is the parent node, Level 1 has 2 daughter nodes, Level 2 has

There have been several constructive responses to John Sorkin's comment, but none of them are fully satisfactory. Of course, if you know the name of the function you are looking for, there are lots of ways to search — provided that everyone calls the function by a name that matches your search. If you think there might be a function, but you don't know the name, then you have

Hello Tal, You asked *When is it helpful to use interactive plots? Either for data exploration (for ourselves) and data presentation (for a "client")?* My answer: It's helpful for checking data quality, for exploration with and without "clients", for checking results, and for data presenting. Notes: (1) It's difficult to explain interactive data visualization in

DFAPacketizer has a virtual method isLegalToPruneDependencies(). I looked at the Hexagon code and but wasn't unable to understand the details (unfortunately as of now, I'm not well versed in the Hexagon architecture). Would anyone be able to shed light on what is dependency pruning and how it should be used? Any help is appreciated. -- R -------------- next part -------------- An HTML

I'm using the Yocto Project to build an embedded distro, to which I'm adding Samba 3.6 from OpenEmbedded. Doing so increases my root file system from about 63MB to 175MB. I seem to be building a large Samba server with a small ancillary operating system tacked onto it. I listed the files in my file system image, and see that lots of the commands are quite large. I understand that Samba 4

Hi, I am using the packages tree and rpart to build a classification tree to predict a 0/1 outcome. The package rpart has the advantage that the function plotcp gives a visual representation of the cross-validation results with a horizontal line indicating the 1 standard error rule, i.e. the recommendation to select the most parsimonious model (the smallest tree) whose error is not more than one

Hello, in the data.frame "resultsfuzzy" I would like to replace the characters in the second column ("5a", "5b", ... "5e") with numbers from 1 to 5. The data.frame has 39150 entries. I seems to work on samples that are << nrow(resultsfuzzy) but it takes suspicously long. Do you have any suggestions how to make the character replacing more

I require some assistance with JGR, but following the mailing list link from http://jgr.markushelbig.org/FAQ.html leads me to http://mailman.rz.uni-augsburg.de/mailman/listinfo/stats-rosuda-devel which responds with No such list stats-rosuda-devel I was previously subscribed to this mailing list and want to resubscribe, but where has it gone? Many thanks, Oliver Mannion Programmer COMPASS -

I am using realtime on two boxes, one running 1.4.10.1 and one running 1.4.11. Everything works fine except for when I make a database change, such as a phones password. I change the DB, I prune the peer, I see it is gone and then I see it show up again in "sip show peer xxxx", but everything is not being updated. The phone will not register even though the DB and the phone have

Sometimes I write code like this: > qf.a <- subset(qf, pubid %in% c(104, 106, 107, 108)) > qf.b <- subset(qf, !pubid %in% c(104, 106, 107, 108)) and I get a little worried that maybe I've remembered the precedence rules wrong, so I change it to > qf.a <- subset(qf, pubid %in% c(104, 106, 107, 108)) > qf.b <- subset(qf, !(pubid %in% c(104, 106, 107, 108))) and pretty

Dear R users / devs, There's been requests in the past for a text editor built into the Rgui for Windows, from which code can be submitted to the R console. Something along the lines of the script editor in S-Plus. Currently Rgui can only display a file read-only in a pager. As far as I can tell there's been little motivation to implement an editor, as most developers use (the

Hi, I have a data.frame which is ordered by score, and has a factor column: Browse[1]> wc[c("report","score")] report score 9 ADEA 0.96 8 ADEA 0.90 11 Asylum_FED9 0.86 3 ADEA 0.75 14 Asylum_FED9 0.60 5 ADEA 0.56 13 Asylum_FED9 0.51 16 Asylum_FED9 0.51 2 ADEA 0.42 7 ADEA 0.31 17

There have been a lot of responses. I'll try to summarize the thread and respond to some of the questions/feedback. Summary ======= 1. We should teach GlobalDCE to strip out instrumented functions which the inliner cannot delete. 2. Sean suggests adding metadata to loads/stores of counters to convey that they do not alias normal program data. I'm not familiar with AA, but

On Thu, Mar 10, 2016 at 8:33 PM, Sean Silva via llvm-dev < llvm-dev at lists.llvm.org> wrote: > > > On Thu, Mar 10, 2016 at 7:21 PM, Vedant Kumar via llvm-dev < > llvm-dev at lists.llvm.org> wrote: > >> Hi, >> >> I'd like to add a new pass to LLVM which removes redundant profile counter >> updates. The goal is to speed up code coverage

I have code like this: - #----------------------------------------------------------------------- ------------------------------------------------------ x=scan() 0 0 0 0 0 1 2 3 4 y=scan() 1 1 1 2 2 1 3 4 5 plot(x,y) identify(0,1,3) #Allows me to select manually to identify co-ordinate (0,1) as being duplicated 3 times identify(0,2,2) #Allows me to select manually to identify co-ordinate