当前位置:网站首页>R language uses rnbinom function to generate random numbers conforming to negative binomial distribution, and uses plot function to visualize random numbers conforming to negative binomial distributio
R language uses rnbinom function to generate random numbers conforming to negative binomial distribution, and uses plot function to visualize random numbers conforming to negative binomial distributio
2022-04-22 12:57:00 【statistics+insight】
R Language use rnbinom Function generates random numbers that conform to negative binomial distribution 、 Use plot Function visualization of random numbers conforming to negative binomial distribution (Negative binomial distribution)
Catalog
版权声明
本文为[statistics+insight]所创,转载请带上原文链接,感谢
https://yzsam.com/2022/04/202204221255407834.html
边栏推荐
猜你喜欢

Enterprise code static testing tool helix QAC - technical specifications

vnpy本地導入csv數據

vnpy本地导入csv数据

Under the pressure of sanctions, Russia plans to import electronic products in parallel through friendly countries

数商云集中采购系统 :集中采购内外协同, 最大程度减少异常支出

396. Fonction de rotation

書城項目注册頁面和郵箱驗證

企业级代码静态测试工具Helix QAC——技术规格

Mathematics - covariance

Verify whether the form is empty
随机推荐
摆脱 AI 生产“小作坊”:如何基于 Kubernetes 构建云原生 AI 平台
C#之SQL数据库操作(源码)
制裁压力下,俄罗斯计划通过友好国家平行进口电子产品
R语言使用scale函数标准化缩放dataframe数据(设置scale参数、scale参数设置除以标准差)
Give yourself the possibility of success
多线程基础一 线程的创建
The shortest distance of dynamic programming characters
@PreAuthorize注解做权限校验
Is this open source project going to kill me?
R language changes dataframe data from long to wide: spread function of tidyr package and pivot of CDATA package_ to_ Rowrecs function, data Table package dcast function
redis的key都变成了backup,值也都不见了,这是为什么呢?
数商云电子招投标系统解决方案丨规范政采流程,提高工作效率
Machine learning 7- logistic regression to realize the binary classification of watermelon dataset 2.0
JS foundation 5
calloc和realloc
数商云集中采购系统 :集中采购内外协同, 最大程度减少异常支出
Verify whether the form is empty
摆脱 AI 生产“小作坊”:如何基于 Kubernetes 构建云原生 AI 平台
R language ggplot2 visualization: calculate the number of missing values of each data column in the dataframe, and visualize the missing values of each data column using a stacked bar plot (set the co
STC8H内部EEPOM讲解