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motorsim | Solid rocket motor simulation

 by   bkuker Java Version: Current License: Non-SPDX

 by   bkuker Java Version: Current License: Non-SPDX

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kandi X-RAY | motorsim Summary

motorsim is a Java library typically used in Simulation applications. motorsim has no bugs, it has no vulnerabilities and it has low support. However motorsim build file is not available and it has a Non-SPDX License. You can download it from GitHub.
Open source solid rocket motor simulation, written in Java.
Support
Support
Quality
Quality
Security
Security
License
License
Reuse
Reuse

kandi-support Support

  • motorsim has a low active ecosystem.
  • It has 13 star(s) with 1 fork(s). There are 4 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 2 open issues and 0 have been closed. On average issues are closed in 533 days. There are no pull requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of motorsim is current.
motorsim Support
Best in #Java
Average in #Java
motorsim Support
Best in #Java
Average in #Java

quality kandi Quality

  • motorsim has 0 bugs and 0 code smells.
motorsim Quality
Best in #Java
Average in #Java
motorsim Quality
Best in #Java
Average in #Java

securitySecurity

  • motorsim has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • motorsim code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.
motorsim Security
Best in #Java
Average in #Java
motorsim Security
Best in #Java
Average in #Java

license License

  • motorsim has a Non-SPDX License.
  • Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.
motorsim License
Best in #Java
Average in #Java
motorsim License
Best in #Java
Average in #Java

buildReuse

  • motorsim releases are not available. You will need to build from source code and install.
  • motorsim has no build file. You will be need to create the build yourself to build the component from source.
  • motorsim saves you 4425 person hours of effort in developing the same functionality from scratch.
  • It has 9368 lines of code, 733 functions and 102 files.
  • It has medium code complexity. Code complexity directly impacts maintainability of the code.
motorsim Reuse
Best in #Java
Average in #Java
motorsim Reuse
Best in #Java
Average in #Java
Top functions reviewed by kandi - BETA

kandi has reviewed motorsim and discovered the below as its top functions. This is intended to give you an instant insight into motorsim implemented functionality, and help decide if they suit your requirements.

  • Burn the battery .
    • Add the menu to the JMenuBar .
      • Updates the extra information .
        • Gets the menu items .
          • Generates the chart chart for the given quantity .
            • Add a menu to the JMenu .
              • Set the report summary .
                • Returns the y - rotated area of a shape .
                  • Calculates the area of a shape
                    • Rearches for a shape .

                      Get all kandi verified functions for this library.

                      Get all kandi verified functions for this library.

                      motorsim Key Features

                      Solid rocket motor simulation

                      Community Discussions

                      Trending Discussions on Simulation
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                      • Showcasing a binary tree in unity problom
                      • Transporter move through wall
                      • Anylogic - create Resources and add to ResourcePool
                      • Anylogic: Release specific resource
                      • Anylogic: Is it possible to move Transporters based on travel time, rather than distance and speed?
                      • AnyLogic: False number format when exporting data to excel
                      Trending Discussions on Simulation

                      QUESTION

                      How to generate a negative binomial distribution with different sample sizes for power analyses in R?

                      Asked 2022-Apr-14 at 12:54

                      I try to do a power simulation with an outcome variable that is zero-inflated. So I use a negative binomial distribution. What I need is the following distribution:

                      library(tidyverse)
                      set.seed(123)
                      rt_random <- 
                      rnbinom(n = 2000, mu = 25, size = .9) 
                      qplot(rt_random)
                      

                      desired distribution

                      Now, I tried to create a function where I can use different sample sizes for the power simulation. I use the pmapfunction for this. However this does not seem to work. The final distribution is not zero-inflated at all and the mean is not close to the defined mean:

                      generate_distribution <- function(n, mus, sizes){
                        tibble(n = n, 
                             t_mu = mus, 
                             t_size = sizes)%>% 
                        mutate(rt = pmap(list(n, t_mu, t_size),
                                           ~rnbinom(..1, ..2, ..3))) %>% 
                        unnest(rt) 
                        
                      }
                      set.seed(123)
                      rt_df <- 
                        generate_distribution(n = 2000,
                                              mus = 25,
                                              sizes = .9)
                      qplot(rt_df$rt)
                      

                      wrong distribution

                      Is there an easy way to change my code so that I get the desired distribution?

                      ANSWER

                      Answered 2022-Apr-14 at 12:54

                      The problem is that in your lambda function, you are not using the argument names for rnbinom. The default order for the arguments if you don't name them is n, size, prob, mu, so you are passing 2000 to n, 25 to size and 0.9 to prob. Just name the arguments explicitly as you did in your first example, and your code will work.

                      generate_distribution <- function(n, mus, sizes){
                        tibble(n = n, 
                             t_mu = mus, 
                             t_size = sizes)%>% 
                        mutate(rt = pmap(list(n, t_mu, t_size),
                                           ~rnbinom(n = ..1, mu = ..2, size = ..3))) %>% 
                        unnest(rt) 
                      }
                      
                      set.seed(123)
                      rt_df <- 
                        generate_distribution(n = 2000,
                                              mus = 25,
                                              sizes = .9)
                      qplot(rt_df$rt) 
                      

                      enter image description here

                      Source https://stackoverflow.com/questions/71871538

                      Community Discussions, Code Snippets contain sources that include Stack Exchange Network

                      Vulnerabilities

                      No vulnerabilities reported

                      Install motorsim

                      You can download it from GitHub.
                      You can use motorsim like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the motorsim component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

                      Support

                      For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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