sample

问题 data1 = data.frame("id" = c("f","e","b","a","e","d","e","f","c","d","d","c","d","b","e","b","d","b","e","e","b","a","b","e","a","d","a","d","b","f","b","e","b","d","e","d","b","e","f","a","b","b","f","e","c","a","b","d","c","d","e","e","f","e","a","b","b","c","b","a","b","f","a","b","c","e","d","a","e","d","a","f","b","d","e","b","f","e","f","f","c","b","f","c","b","e","e","f","e","b","f","f","b","e","c","a","e","c","d","b"), "class" = c(4,1,2,4,1,4,3,2,1,1,2,4,2,2,3,1,4,1,2,4,2,2,1,1,1,3,4,4

问题 data1 = data.frame("id" = c("f","e","b","a","e","d","e","f","c","d","d","c","d","b","e","b","d","b","e","e","b","a","b","e","a","d","a","d","b","f","b","e","b","d","e","d","b","e","f","a","b","b","f","e","c","a","b","d","c","d","e","e","f","e","a","b","b","c","b","a","b","f","a","b","c","e","d","a","e","d","a","f","b","d","e","b","f","e","f","f","c","b","f","c","b","e","e","f","e","b","f","f","b","e","c","a","e","c","d","b"), "class" = c(4,1,2,4,1,4,3,2,1,1,2,4,2,2,3,1,4,1,2,4,2,2,1,1,1,3,4,4

问题 Closed . This question needs details or clarity. It is not currently accepting answers. Want to improve this question? Add details and clarify the problem by editing this post. Closed 9 days ago . I am working on this paper. I have to apply particle filtering on it in place of markov filter. This paper is all about video anomaly. I have to implement particle filter on video. For this purpose, I need to draw samples from proposed distribution. As given that: To initialize that initial sample

问题 I have a data matrix X (60x208) and a matrix of labels Y (1x208). I want to split my data matrix X into two random subsets of column vectors: training (which will be 70% of the data) and testing (which will be 30% of the data), but I need to still be able to identify which label from Y corresponds to each column vector. I couldn't find any function to do this, any ideas? EDIT: Thought I should add, there are only two labels in Y: 1 and 2 (not sure if this makes a difference) 回答1: That's

问题 I have a data matrix X (60x208) and a matrix of labels Y (1x208). I want to split my data matrix X into two random subsets of column vectors: training (which will be 70% of the data) and testing (which will be 30% of the data), but I need to still be able to identify which label from Y corresponds to each column vector. I couldn't find any function to do this, any ideas? EDIT: Thought I should add, there are only two labels in Y: 1 and 2 (not sure if this makes a difference) 回答1: That's

问题 I have 33 students I want to sort into groups of 6 (or as close as possible) on 5 different occasions. So I assign a number between 1 and 6 to the students on different occassions. I've managed the following: studentlist <- data.frame(seq(1:33)) studentlist$Occassion1 <- sample(factor(rep(1:6, length.out=nrow(studentlist)), labels=paste0(1:6))) studentlist$Occassion2 <- sample(factor(rep(1:6, length.out=nrow(studentlist)), labels=paste0(1:6))) studentlist$Occassion3 <- sample(factor(rep(1:6,

问题 I'm trying to figure out how this webpack library works. The sample code I use is from here https://github.com/webpack/webpack/tree/master/examples/multi-part-library When I ran "webpack" it produce "dist/MyLibrary.alpha.js" and "dist/MyLibrary.beta.js" in the same folder. Then I create a test.js to consume the library and ran it. Other than running webpack and creating the test.js, nothing from the sample files were changed. Consuming alpha.js works fine, but MyLibrary.alpha did not. /

问题 Closed . This question needs to be more focused. It is not currently accepting answers. Want to improve this question? Update the question so it focuses on one problem only by editing this post. Closed 2 years ago . Hi I am trying to create a dataframe of 600 rows and 18 columns in R BUT: -each row has to have only three 1's randomly in the 18 columns (for example column A,E,F with 1 and the rest with 0's) -the sum of each column has to be equal to 100 I am really stuck with this problem :(

问题 Closed . This question needs to be more focused. It is not currently accepting answers. Want to improve this question? Update the question so it focuses on one problem only by editing this post. Closed 2 years ago . Hi I am trying to create a dataframe of 600 rows and 18 columns in R BUT: -each row has to have only three 1's randomly in the 18 columns (for example column A,E,F with 1 and the rest with 0's) -the sum of each column has to be equal to 100 I am really stuck with this problem :(

问题 I am new to coding and am trying to learn Ruby. I am working in a Rake. What should I use to ensure that the random selection never repeats the same response back to back? array = ["1", "2", "3", "4", "5"] task :array do array = ["1", "2", "3", "4", "5"] ap(array.sample) end 回答1: With array.shuffle.each{|x|} you can reorder the array, then traverse the new order, pulling items in a random order without repeating them. 来源： https://stackoverflow.com/questions/51162191/how-to-pick-random-element