Julia: Generate normally distributed random number with restricted range












1
















Question: How can I generate a random number in the interval [0,1] from a Gaussian distribution in Julia?




I gather randn is the way to generate normally distributed random numbers, but the documentation's description of how to specify a range is quite opaque.






random range julia normal-distribution







share|improve this question



























    1
















    Question: How can I generate a random number in the interval [0,1] from a Gaussian distribution in Julia?




    I gather randn is the way to generate normally distributed random numbers, but the documentation's description of how to specify a range is quite opaque.






    random range julia normal-distribution







    share|improve this question

























      1












      1








      1









      Question: How can I generate a random number in the interval [0,1] from a Gaussian distribution in Julia?




      I gather randn is the way to generate normally distributed random numbers, but the documentation's description of how to specify a range is quite opaque.






      random range julia normal-distribution







      share|improve this question















      Question: How can I generate a random number in the interval [0,1] from a Gaussian distribution in Julia?




      I gather randn is the way to generate normally distributed random numbers, but the documentation's description of how to specify a range is quite opaque.






      random range julia normal-distribution




      random range julia normal-distribution






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Nov 21 '18 at 3:04









      YlyYly

      435313




      435313
























          1 Answer
          1






          active

          oldest

          votes


















          6














          Use the Distributions package. If you don't already have it:



          using Pkg ; Pkg.add("Distributions")


          then:



          using Distributions
          
mu = 0    #The mean of the truncated Normal
          
sigma = 1 #The standard deviation of the truncated Normal
          
lb = 0    #The truncation lower bound
          
ub = 1    #The truncation upper bound
          
d = Truncated(Normal(mu, sigma), lb, ub)  #Construct the distribution type
          
x = rand(d, 100) #Simulate 100 obs from the truncated Normal


          or all in one line:



          x = rand(Truncated(Normal(0, 1), 0, 1), 100)





          share|improve this answer























            Your Answer






            StackExchange.ifUsing("editor", function () {
            StackExchange.using("externalEditor", function () {
            StackExchange.using("snippets", function () {
            StackExchange.snippets.init();
            });
            });
            }, "code-snippets");

            StackExchange.ready(function() {
            var channelOptions = {
            tags: "".split(" "),
            id: "1"
            };
            initTagRenderer("".split(" "), "".split(" "), channelOptions);

            StackExchange.using("externalEditor", function() {
            // Have to fire editor after snippets, if snippets enabled
            if (StackExchange.settings.snippets.snippetsEnabled) {
            StackExchange.using("snippets", function() {
            createEditor();
            });
            }
            else {
            createEditor();
            }
            });

            function createEditor() {
            StackExchange.prepareEditor({
            heartbeatType: 'answer',
            autoActivateHeartbeat: false,
            convertImagesToLinks: true,
            noModals: true,
            showLowRepImageUploadWarning: true,
            reputationToPostImages: 10,
            bindNavPrevention: true,
            postfix: "",
            imageUploader: {
            brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
            contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
            allowUrls: true
            },
            onDemand: true,
            discardSelector: ".discard-answer"
            ,immediatelyShowMarkdownHelp:true
            });


            }
            });














            draft saved

            draft discarded


















            StackExchange.ready(
            function () {
            StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53404705%2fjulia-generate-normally-distributed-random-number-with-restricted-range%23new-answer', 'question_page');
            }
            );

            Post as a guest















            Required, but never shown

























            1 Answer
            1






            active

            oldest

            votes








            1 Answer
            1






            active

            oldest

            votes









            active

            oldest

            votes






            active

            oldest

            votes









            6














            Use the Distributions package. If you don't already have it:



            using Pkg ; Pkg.add("Distributions")


            then:



            using Distributions
            
mu = 0    #The mean of the truncated Normal
            
sigma = 1 #The standard deviation of the truncated Normal
            
lb = 0    #The truncation lower bound
            
ub = 1    #The truncation upper bound
            
d = Truncated(Normal(mu, sigma), lb, ub)  #Construct the distribution type
            
x = rand(d, 100) #Simulate 100 obs from the truncated Normal


            or all in one line:



            x = rand(Truncated(Normal(0, 1), 0, 1), 100)





            share|improve this answer




























              6














              Use the Distributions package. If you don't already have it:



              using Pkg ; Pkg.add("Distributions")


              then:



              using Distributions
              
mu = 0    #The mean of the truncated Normal
              
sigma = 1 #The standard deviation of the truncated Normal
              
lb = 0    #The truncation lower bound
              
ub = 1    #The truncation upper bound
              
d = Truncated(Normal(mu, sigma), lb, ub)  #Construct the distribution type
              
x = rand(d, 100) #Simulate 100 obs from the truncated Normal


              or all in one line:



              x = rand(Truncated(Normal(0, 1), 0, 1), 100)





              share|improve this answer


























                6












                6








                6







                Use the Distributions package. If you don't already have it:



                using Pkg ; Pkg.add("Distributions")


                then:



                using Distributions
                
mu = 0    #The mean of the truncated Normal
                
sigma = 1 #The standard deviation of the truncated Normal
                
lb = 0    #The truncation lower bound
                
ub = 1    #The truncation upper bound
                
d = Truncated(Normal(mu, sigma), lb, ub)  #Construct the distribution type
                
x = rand(d, 100) #Simulate 100 obs from the truncated Normal


                or all in one line:



                x = rand(Truncated(Normal(0, 1), 0, 1), 100)





                share|improve this answer













                Use the Distributions package. If you don't already have it:



                using Pkg ; Pkg.add("Distributions")


                then:



                using Distributions
                
mu = 0    #The mean of the truncated Normal
                
sigma = 1 #The standard deviation of the truncated Normal
                
lb = 0    #The truncation lower bound
                
ub = 1    #The truncation upper bound
                
d = Truncated(Normal(mu, sigma), lb, ub)  #Construct the distribution type
                
x = rand(d, 100) #Simulate 100 obs from the truncated Normal


                or all in one line:



                x = rand(Truncated(Normal(0, 1), 0, 1), 100)






                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Nov 21 '18 at 4:06









                Colin T BowersColin T Bowers

                10.3k43765




                10.3k43765
































                    draft saved

                    draft discarded




















































                    Thanks for contributing an answer to Stack Overflow!


                    • Please be sure to answer the question. Provide details and share your research!

                    But avoid …



                    • Asking for help, clarification, or responding to other answers.

                    • Making statements based on opinion; back them up with references or personal experience.


                    To learn more, see our tips on writing great answers.




                    draft saved


                    draft discarded














                    StackExchange.ready(
                    function () {
                    StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53404705%2fjulia-generate-normally-distributed-random-number-with-restricted-range%23new-answer', 'question_page');
                    }
                    );

                    Post as a guest















                    Required, but never shown





















































                    Required, but never shown














                    Required, but never shown












                    Required, but never shown







                    Required, but never shown

































                    Required, but never shown














                    Required, but never shown












                    Required, but never shown







                    Required, but never shown







                    -

                    這個網誌中的熱門文章

                    Xamarin.form Move up view when keyboard appear

                    圖片
                    .everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty{ height:90px;width:728px;box-sizing:border-box; } 0 I'm trying to build a Chat app UI, the idea of the Layout was pretty simple: When the input bar is focused, keyboard show up and "push" up the chat bar, as it's a grid, the ListView will resize to fit the screen: I update the input bar's margin to "push" it up: NSValue result = (NSValue)args.Notification.UserInfo.ObjectForKey(new NSString(UIKeyboard.FrameEndUserInfoKey)); CGSize keyboardSize = result.RectangleFValue.Size; if (Element != null){ Element.Margin = new Thickness(0, 0, 0,keyboardSize.Height); //push the entry up to keyboard height when keyboard is activated } And this is ...
                    閱讀完整內容

                    Post-Redirect-Get with Spring WebFlux and Thymeleaf

                    圖片
                    .everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty{ height:90px;width:728px;box-sizing:border-box; } 2 Can someone explain to me how to implement the post-redirect-get pattern in Spring WebFlux and Thymeleaf? What subscribes on the database save method? @GetMapping("/register") public String showRegisterForm(Model model) { model.addAttribute("user", new User()); return "register"; } @PostMapping public String processRegisterForm(@Valid User user, BindingResult bindingResult) { if (bindingResult.hasErrors()) { return "register"; } else { userRepository.save(user); //what subscribes on this? //how to redirect on e.g. "/login"? ...
                    閱讀完整內容

                    Anylogic : not able to use stopDelay()

                    圖片
                    -2 I am building a railway station model. I want a train to depart when I click a button. I want to call stopDelay() for that but I am not sure how to do that and from which place. anylogic share | improve this question asked Nov 23 '18 at 10:12 Anupam Singh Anupam Singh 1 Hi Anupam, welcome to SOF. Please check how to ask good questions, see link below. Your question is...
                    閱讀完整內容