search for: interacting

I was surprised by this: R --interactive -e 'interactive()' bash-3.2$ R -q -e 'interactive()' --interactive > interactive() [1] FALSE > as the command options document says that --interactive should force interactive=TRUE: " When *R* is run in a terminal (via |Rterm.exe| on Windows), it assumes that it is interactive if ?stdin? is connected to a (pseudo-)terminal

>>>>> Mick Jordan <mick.jordan at oracle.com> >>>>> on Tue, 28 Apr 2015 18:11:54 -0700 writes: > I was surprised by this: > R --interactive -e 'interactive()' > bash-3.2$ R -q -e 'interactive()' --interactive >> interactive() > [1] FALSE >> > as the command options document says that

Hello, I want to know if there are some functions or packages to solve differential and integral equation using R. Thanks. Shao chunxuan. [[alternative HTML version deleted]]

Dear all, I have a problem with interactions in lmer. I have 2 factors (garden and gebiet) which interact, plus one other variable (home), dataframe arr. When I put: / lmer (biomass ~ home + garden:gebiet + ( 1|Block), data = arr)/ it writes: /Error in lme4::lFormula(formula = biomass ~ home + garden:gebiet + (1 | : rank of X = 28 < ncol(X) = 30/ In the lmer help I found out that if not

I would like to have a mode where I can run some R code in an executable script, like with Rscript, but interactively, so that e.g. 'browser()' works. From the manual page it looks like this should work: R --interactive -e 'source("script.R")' or we could shorten it to: R --interactive -e 'browser()' However, it seems that --interactive causes -e

Hi, I am just a little confused of mian effect in the analysis of variance (ANOVA) when you include or do not include an interaction term. Let's assume a simple case of 2-way ANOVA with 2 factors A and B, each with 2 levels. If it shows that main effect for A is significant when the interaction between A and B is NOT included, and the main effect for A is NOT significant when the interaction

I?ve used logistic regression to create models to assess the effect of 3 variables on the presence or absence of a species, including the interaction terms between variables and model averaging using MuMI: model.avg The top models (delta<4) include several models with interaction terms and some models without; model weights are quite low for all models (<0.25). My problem is that the models

#Dear R users, #I want six interaction plots to be on one page, #but the following problem occurs: the legend "BMIakt" appears, #but it is exactly on the border of the plots (too far right). #My seccond question is, how I can reduce the empty space in the y-direction #between the plots. #Please have a look at my syntax below. #Many thanks! #Udo myData <-

Hi, is there a way to take a dataset and extract numeric columns and create interaction columns from it automatically? For e.g. there are 5 columns of data: A,B,C,D,E. CDE are numeric. Can someone provide code to automatically create more columns such as: 1) C*D, C*E, C*D*E, (C+E)/(D+.01 (to avoid divide by zero), (D+E)/(C+.01 (to avoid divide by zero), (C+D)/(E+.01 (to avoid

I read an article today about keyboard interactive auth allowing bruteforcing. I'm afraid I have minimal understanding of what keyboard-interactive really does. What does it do, and should I have my clients set it to off in sshd_config? --- Scott Neugroschl | XYPRO Technology Corporation 4100 Guardian Street | Suite 100 |Simi Valley, CA 93063 | Phone 805 583-2874|Fax 805 583-0124 |

Forgive my resending this post. To data I have received only one response (thank you Bert Gunter), and I still do not have an answer to my question. Respectfully, John Windows XP R 2.12.1 contrast package. I am trying to understand how to create contrasts for a model that contatains an interaction. I can get contrasts to work for a model without interaction, but not after adding the

Hi, I recently ran into an inconsistency in the way model.matrix.default handles factor encoding for higher level interactions with categorical variables when the full hierarchy of effects is not present. Depending on which lower level interactions are specified, the factor encoding changes for a higher level interaction. Consider the following minimal reproducible example: -------------- >

Hello, After putting together interaction code that worked for a single pair of interactions, when I try to evaluate two pairs of interactions( flowers*gopher, flowers*rockiness) my computer runs out of memory, and the larger desktop I use just doesn't go anywhere after about 20 minutes. Is it really that big a calculation? to start: mle2(minuslogl = Lily_sum$seedlings ~ dnbinom(mu = a,

Hello, I am interested in passing a command or two to R on the command line. The desired behavior is for R to run these commands first, and then begin an interactive session. For example: $ R -e 'foo <- read.csv("/tmp/foo.csv")' ...which would launch R and execute that command, so when I return from getting coffee, foo would be loaded. I know that if I put this command

I have difficulties in interpreting high order interaction terms in high-way ANOVA. According to Introductory Statistics with R by Peter Dalgaard (Section 12.5), "The exact definition of the interaction terms and the interpretation of their associated regression coefficients can be elusive. Some peculiar things happen if an interaction term is present but one or more of the main effects are

Dear All, I have a collections of spatial data. I have to analyze pairs of these point patterns to test their spatial interaction. I was moving towards the cross K Ripley's function. The problem, however, are the following: 1) What is the best way to get a single real value that represents the interaction "power"? 2) How to obtain a value that even allows me to rank the pairwise

Dear all, I have asked before, in R-help [1], about a way to create an interactive session in which commands are taken from a file or standard input - like R CMD BATCH but additionally allowing user input - but there was no response to that question, and the workarounds that I have found (using "expect", creating a temporary .Rprofile) are ugly and problematic. With the

Hello,<?xml:namespace prefix = o ns = "urn:schemas-microsoft-com:office:office" /><o:p></o:p> while doing my thesis in habitat modelling I´ve come across a problem with interaction terms. My question concerns the usage of interaction terms for linear regression modelling with R. If an interaction-term (predictor) is chosen for a multiple model, then, according to

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

Hi all, Could anyone point me in the right direction for a package that provides the 'interactive' module for Python? I need to do some SSH stuff in Python so I grabbed python-paramiko from RPMForge (as always, thanks Dag & co.). Paramiko appears to be dependent on python-crypto but the RPM doesn't require it.. [wmcdonald at willspc ssh]$ ./demo.py Traceback (most recent call