similar to: conditional mean between two data frames with different levels

Hi all, I've been using the scatterplot3d function (from the scatterplot3d library) to create 3D plots. I was wondering whether there is anyway to group the points according to a particular group variable. For example I used the plot function as plot( factor( <GROUPINGVAR> ) , <PLOTVARS> ) to organise the results in a according to the grouping variable. I was wondering

dear all, I am a student in cs college. I would like to know how to plot infinte number of genes after using the svm. the data set i have consists of x which is a matrix of 39 cancer patients [rows] and 2000 gene names [colmns]. each cell is the value of the gene for a particular patient. there are two types of cancer people representedas factor y. here is the code: library(e1071) #load

Hi users I'm student who is struggling with basic R programming. Would you please help me with this problem. "My english is bad" I hope that my question is clear: I have a matrix in wich there are two colmns( yp, yt) Yp: predicted values from my model. yt: true values ( my dependante variable y is a categorical;3 modalities (0,1,2) I don't know how to procede to calculate the

Hello, Sorry for the very Off TOpic post, but I need some data on past football (soccer) world cups. I'd like to find (or calculate) the time to the first goal of each match (where a goal was scored). I''ve looked at the uefa website and can't find what I want, maybe someone here can help ? Thanks Paul.

Overview ======== This module implements the Center for Internet Security (CIS) Security Configuration Benchmark for Red Hat Enterprise Linux 6 v.1.1.0 (avilable at http://benchmarks.cisecurity.org). Each scored control has been implemented as a class or a custom fact. Installation ============ Please either: - Clone git repo from https://github.com/arildjensen/cis-puppet - Run "puppet

Hi, I am passing a data frame and field name to a function. I've figured out how I can create the formula based on the passed in field name, but I'm struggling to create a vector based in that field. for example if I hard code with the actual field name Y = df$Target, everything works fine. but if I use the passed in parameter name, it doesn't give me what I want, Y =

Dear Professor Revelle and R-helpers, This is a two-part question: the first part is general, and the second is specific to the psych package. First question: In the past I've constructed composite variables from questionnaire data by using rowMeans(), and then correlating items with the scale using cor() as an informal check for "bad" items. Over the weekend I decided to take a

Let's assume that according to Anova(lm(y~a*b, data=d)) the a:b interaction is significant, and I would like to know if there are specific combinations of a and b levels that differ from the control group. Are there any caveats against simply looking at the p-values in the output generated by summary(lm(y~a*b,data=d))? The documentation for summary.lm says nothing about multiple comparison

Greetings, useRs. Does anybody have replication of the examples from the RMS book by Harrell coded in R? I find that most the code does not work and it takes too much time to debug. For example from p.276 > age.t <- w[,"age"] > f.full <- lrm(cvd~scored(rx)+rcs(dtime,5)+age.t+wt.t+pf.t+hx+sbp+ekg.t+sz.t+sg.t+ap.t+bm+hg.t,x=T,y=T) Error in model.frame.default(formula = cvd ~

Hi, I am passing a data frame and field name to a function. I've figured out how I can create the formula based on the passed in field name, but I'm struggling to create a vector based in that field. for example if I hard code with the actual field name Y = df$Target, everything works fine. but if I use the passed in parameter name, it doesn't give me what I want, Y = df$mytarget

Hi, I am using rpart decision trees to analyze customer churn. I am finding that the decision trees created are not effective because they are not able to recognize factors that influence churn. I have created an example situation below. What do I need to do to for rpart to build a tree with the variable experience? My guess is that this would happen if rpart used the loss matrix while creating

Hello all, Is there any R package that can develop a scorecard model for a binary target variable? More details: I want to create a scorecard based on the raw data I have. I have a binary target variable and a few numeric and character input variables. I want to bin the variables and assign a score to each of the bins. Each subject will be scored based on the bin it falls in for each

Hello, Has anyone tried out the security scoring tool at http://www.cisecurity.org/bench_freebsd.html? Any thoughts or opinions? Regards, stheg __________________________________ Do you Yahoo!? Yahoo! Mail - 250MB free storage. Do more. Manage less. http://info.mail.yahoo.com/mail_250

Hello I have this scenario (hope it is understandable): I have a model to support fact messages of different types. This is sport related and I have currently the following model design. matchfacts (is the generic table connecting all matchfacts to for instance a match/game, match has_many matchfacts). Some matchfact-data is generic, like the time of fact and therefore the data should be stored

Hi, I''m confused about managing field boosting ... I have set the :boost for the :name field in my docs to 10, via :boost => 10 Then I performed a search for ''keith'' over all fields via with *:(keith*), expecting a doc with Keith in the :name field to come out on top. But another doc with Keith mentioned in other fields (:comments, :address) scored higher. I

Hi. TL/DR version: Is it advisable to invoke an spam checker from the sieve script, and then, once the message is filtered, decide if should be moved to a certain spam folder? A bit more context on why I'm considering this: I'm just a geek who wants to handle his own mail, but not a great experience as a system administrator. I don't have any corporate setup, just a simple VPS

Hi, I am using acts_as_ferret and have a problem with scoring. I would like to organize it in such way that, if any of the searched terms fits, I get 1.0 score as a result. I will explain it on the example. I have in index: a) "one two three four" b) "one two three" c) "one two" d) "one" When I search for "one" I would like to get 1.0 score for

I have a dataframe called "data" with 5 records (in rows) each of which has been scored on each of many variables (in columns). Five of the variables are named var1, var2, var3, var4, var5 using headers. The other variables are named using other conventions. I can create a new variable called var6 with the value 15 for each record with this code: > var6=var1+var2+var3+var4+var5

I am creating an application to run a fishing tournament (see http:// www.ruby-forum.com/topic/51209 for a little background) Now I am running into an issue trying to calculate a leader board. each participate can enter multiple fish but only the largest fish per a given species counts towards the overall score. My entries table looks like this:

Dear All, I am analysing a dataset on levels of herbivory in seedlings in an experimental setup in a rainforest. I have seven classes/categories of seedling damage/herbivory that I want to analyse, modelling each separately. There are twenty maternal trees, with eight groups of seedlings around each. Each tree has a TreeID, which I use as the random effect (blocking factor). There are two