random

R - random distribution with predefined min, max, mean, and sd values

梦想的初衷 提交于 2020-01-13 12:04:12
问题 I want to generate a random distribution of say 10,000 numbers with predefined min, max, mean, and sd values. I have followed this link setting upper and lower limits in rnorm to get random distribution with fixed min and max values. However, in doing so, mean value changes. For example, #Function to generate values between a lower limit and an upper limit. mysamp <- function(n, m, s, lwr, upr, nnorm) { set.seed(1) samp <- rnorm(nnorm, m, s) samp <- samp[samp >= lwr & samp <= upr] if (length

random() in python

依然范特西╮ 提交于 2020-01-13 11:42:51
问题 In python the function random() generates a random float uniformly in the semi-open range [0.0, 1.0). In principle can it ever generate 0.0 (i.e. zero) and 1.0 (i.e. unity)? What is the scenario in practicality? 回答1: 0.0 can be generated; 1.0 cannot (since it isn't within the range, hence the ) as opposed to [ ). The probability of generating 0.0 is equal to the probability of generating any other number within that range, namely, 1/X where X is the number of different possible results. For a

random() in python

徘徊边缘 提交于 2020-01-13 11:41:21
问题 In python the function random() generates a random float uniformly in the semi-open range [0.0, 1.0). In principle can it ever generate 0.0 (i.e. zero) and 1.0 (i.e. unity)? What is the scenario in practicality? 回答1: 0.0 can be generated; 1.0 cannot (since it isn't within the range, hence the ) as opposed to [ ). The probability of generating 0.0 is equal to the probability of generating any other number within that range, namely, 1/X where X is the number of different possible results. For a

create N random points all more distant than given length L (python and N = 200)

牧云@^-^@ 提交于 2020-01-13 11:33:32
问题 Similar questions: Generating N random points with certain predefined distance between them choose n most distant points in R But they are either in matlab or does not fullfill the required task. I have to create N number of points inside a box of length that the distance between any two points is larger than delta. For example: Let's say I have a box of length 10 Angstrom on x,y,z axis. I want to have 200 random points inside this box so that minimum distance between any two points is larger

How to shuffle an array so that all elements change their place

狂风中的少年 提交于 2020-01-13 09:28:05
问题 I need to shuffle an array so that all array elements should change their location. Given an array [0,1,2,3] it would be ok to get [1,0,3,2] or [3,2,0,1] but not [3,1,2,0] (because 2 left unchanged). I suppose algorithm would not be language-specific, but just in case, I need it in C++ program (and I cannot use std::random_shuffle due to the additional requirement). 回答1: For each element e If there is an element to the left of e Select a random element r to the left of e swap r and e This

Swift random number [duplicate]

那年仲夏 提交于 2020-01-13 09:02:51
问题 This question already has answers here : Crash when casting the result of arc4random() to Int (7 answers) Closed 5 years ago . I'm having problems with this drawRandomCard function. It works just like it should for some time, but eventually it crashes the application. Here is the code: import Foundation var cardDeck = Array<PlayingCard>() class Deck { func addCard(card : PlayingCard , atTop : Bool = false){ if atTop { cardDeck.insert(card, atIndex: 0); }else{ cardDeck += card } } func

Looking for a fast hash-function

為{幸葍}努か 提交于 2020-01-13 08:08:16
问题 I'm looking for a special hash-function. Let's say I have a large list of strings, if I order them by their hash-values they should be ordered quasi randomly. The most important point is: it must be super fast. I've tried md5 and sha1 and they're using to much cpu power. Clashes are not a problem. I'm using javascript, so it shouldn't be too complicated to implement. 回答1: Take a look at Murmur hash. It has a nice space/collision trade-off: http://sites.google.com/site/murmurhash/ 回答2: It

Looking for a fast hash-function

自古美人都是妖i 提交于 2020-01-13 08:07:09
问题 I'm looking for a special hash-function. Let's say I have a large list of strings, if I order them by their hash-values they should be ordered quasi randomly. The most important point is: it must be super fast. I've tried md5 and sha1 and they're using to much cpu power. Clashes are not a problem. I'm using javascript, so it shouldn't be too complicated to implement. 回答1: Take a look at Murmur hash. It has a nice space/collision trade-off: http://sites.google.com/site/murmurhash/ 回答2: It

(Random) in Common Lisp Not So Random?

谁说我不能喝 提交于 2020-01-13 07:49:08
问题 Okay, final question and I'll have finished my number guessing game in Common Lisp! :D Whenever the game starts (or a new game begins after the first game), the following function is called. ;;; Play the game (defun play () ;; If it's their first time playing this session, ;; make sure to greet the user. (unless (> *number-of-guesses* 0) (welcome-user)) ;; Reset their remaining guesses (setq *number-of-guesses* 0) ;; Set the target value (setq *target* ;; Random can return float values, ;; so

Javascript Randomly Positioned Div's without overlapping them

醉酒当歌 提交于 2020-01-13 06:14:00
问题 I've been working on a random concept idea of having 6 clouds appear on a page with random comments pulled from a database. That part is easy, however I'm finding it extremely difficult to make sure the 6 clouds don't overlap each other. I've looked into Collision Detection a lot and found that there's no real suitable method of checking for a DIV within a range at X or Y before placing the new "randomly positioned" div on the page. I have my code below which I know is extremely messy right