interaction

问题 A great way to visualise the results of a regression in R is the visreg package. I particularly like the plots that show an interaction with different shades of two colours: library(visreg) fit.heat <- lm(Ozone ~ Solar.R + Wind + Temp, data = airquality) visreg2d(fit.heat, "Wind", "Temp", plot.type = "image") (from the visreg documentation) The two colours used are red and blue. Question How can I change the colors? Shades of red and blue don't look too well in black and white print, red and

问题 I'm continuing with a game for an embedded microcontroller (Arduino), and I have a question on class interaction -- this question continues from my previous question here and I have based my code on the suggestion of sheddenizen (see response to the given link in 'here'): I have three classes that inherit from a base class- (i) class Sprite - (bass class) has a bitmap shape and (x,y) position on an LCD (ii) class Missile : public Sprite - has a specific shape, (x,y) and also takes a obj (iii)

问题 I am working on my first python Bokeh interactive dashboard. Plot default shows lines for group=a and group=b. When check box[1], plot will add lines for group=a1 and group=b1. When uncheck [1], line a1, b1 are supposed to be removed from plot, but they still stay in the plot. Below is my sample data and sample code. It can directly run in your jupyter notebook. Can any one help me out? Thank you very much! import pandas as pd import numpy as np import matplotlib.pylab as plt from bokeh.io

问题 I want to open a notepad file using VisualBasic.Interaction.Shell method. At present I get a file not found exception using the following code. int pid = Interaction.Shell(@"D:\abc.txt", AppWinStyle.NormalNoFocus, false, -1); But this works: int pid = Interaction.Shell(@"notepad.exe", AppWinStyle.NormalNoFocus, false, -1); Which just opens a notepad file. Why is this? I do need it to open a file in a specific location. I see some advantage with Interaction.Shell execution. How is it possible

问题 A) I am interested in the effects of a continuous variable ( Var1 ) on a continuous dependent variable ( DV ) conditional on four different groups, which are defined by two bivariate variables ( Dummy1 and Dummy2 ). I thus run a three-way interaction. Var1 <- sample(0:10, 100, replace = T) Dummy1 <- sample(c(0,1), 100, replace = T) Dummy2 <- sample(c(0,1), 100, replace = T) DV <-2*Var1 + Var1*Dummy1 + 2*Var1*Dummy2 + 10*Var1*Dummy1*Dummy2 + rnorm(100) fit <- lm(DV ~ Var1*Dummy1*Dummy2) I

问题 I would like to output the interaction terms from several regressions in the same row and call it "Interaction". So far what I have is that the interaction terms show up in two different rows called "Interaction" (see code below). This question has already been asked here, but my score isn't high enough yet to upvote it or comment on it: https://stackoverflow.com/questions/28859569/several-coefficients-in-one-line. library("stargazer") stargazer(attitude) stargazer(attitude, summary=FALSE) #

问题 I have a C++ program (MSVC 2017) which constantly outputs debug information via std::cout. However sometimes when I physically interact with the console (e.g. click on it accidentally) it stops producing output. Meaning that there's just nothing being printed, although the program continues to run and finishes doing whatever it's doing correctly. Any ideas how to fix this? Removing std::cout buffer with "std::cout.setf(std::ios::unitbuf);" has no effect. Sample: #include <iostream> int main()

问题 Take this simple vector x and two grouping variables, g1 and g2 x <- 1:10 g1 <- rep(1:2, each=5) g2 <- rep(1:3, c(2,3,5)) There are a number of groups in an interaction of these variables that are not represented in this current data. table(interaction(g1,g2)) #1.1 2.1 1.2 2.2 1.3 2.3 # 2 0 3 0 0 5 This causes rare errors that can essentially be boiled down to something simple like: ave(x, list(g1,g2), FUN=function(x) if(length(x)==0) stop() else length(x) ) #Error in FUN(X[[i]], ...) : Now,

问题 The project is based on Eye Tracker. Let me brief the idea behind the project to understand my problem better. I have the hardware of Tobii C eye tracker. This eye tracker will be able to give out coordinates of the X, Y of where I am looking at. But this device is very sensitive. When I look at 1 point, the eye tracker will send out many different data of coordinates but within ± 100 range which I found out. Even though you are staring at 1 point, your eyes keep moving, therefore giving out

问题 This question was migrated from Cross Validated because it can be answered on Stack Overflow. Migrated 7 years ago . Using R, I am running a logistic model and need to include an interaction term in the following fashion, where A is categorical, and B, continuous. Y ~ A + B + normalized(B):A My problem is that when I do so, the reference category is not the same as in Y ~ A + B + A:B which makes comparison of the models difficult. I am sure there is a way to force the reference category to be