PyMeta
$ pip install PythonMeta


SE转SD(SE to SD) | 两组合并(Combining two groups) | 拆分组(Splitting group) | 网络关系图(Network graph) | 证据地图(Evidence Map) |



SE转SD(SE to SD)

SD = SE * sqrt(n)
标准误SE 样本量n 标准差SD 　


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两组合并(Combining two groups)

二分类数据(For Binary data)：各组样本量和事件数分别相加。 Add up sample_size and event_number of each group separately.
　 样本量n 事件数e 　
第一组 Group 1 　
第二组 Group 2 　
合并结果 Result


连续型数据(For Continuous data)： 通过下表计算 as follow
　 样本量n 均值M 标准差SD 　
第一组 Group 1 　
第二组 Group 2 　
合并结果 Result


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拆分组(Splitting group)

二分类数据(For Binary data)：样本量和事件数分别除以组数后取整。The sample size and the number of events were divided by the number of groups and then rounded them up.
　 样本量n 事件数e 　
待拆分组 Original data 　
拟拆组数 Number of groups 　 　
拆分结果 Results
(各组相同 Same for all groups)


连续型数据(For Continuous data)：样本量除以组数后取整，均值和标准差不变。 The sample size is divided by the number of groups and then rounded, the mean and standard deviation remain unchanged.
　 样本量n 均值M 标准差SD 　
待拆分组 Original data 　
拟拆组数 Number of groups 　 　 　
拆分结果 Results
(各组相同 Same for all groups)


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