mr(Mydata, method_list=c("mr_ivw_fe","mr_egger_regression")) #生成OR值 generate_odds_ratios(res) ##二、敏感性分析代码 #水平多效性 mr_pleiotropy_test(Mydata) #异质性 mr_heterogeneity(Mydata, method_list=c("mr_egger_regression",
import numpy as np from sklearn.linear_model import LinearRegression import matplotlib.pyplot as plt %matplotlib inline # 调用模型 lr = LinearRegression(fit_intercept=True) # 训练模型 lr.fit(x,y) print("估计的参数值为:%s" %(lr.coef_)) # 计算R平方 print('R2:%s' %(lr.score(x,y)))...
R中的线性回归分析 回归分析是研究自变量与因变量之间关系形式的分析方法,它主要是通过建立因变量Y与影响它的自变量Xi(i=1,2,3...)之间的回归模型,来预测因变量Y的发展趋势。 简单线性回归模型 Y=a+b*X+e Y——因变量 X——自变量 a——常数项,是回归直线在纵轴上的截距 b——回归系数,是回归直线的斜...
(treesize(randomForest(Species ~ ., data=iris, maxnodes=4, ntree=30))) ## test proximity in regression iris.rrf <- randomForest(iris[-1], iris[[1]], ntree=101, proximity=TRUE, oob.prox=FALSE) str(iris.rrf$proximity) 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14...
LASSO 回归也叫套索回归,是通过生成一个惩罚函数是回归模型中的变量系数进行压缩,达到防止过度拟合,解决严重共线性的问题,LASSO 回归最先由英国人Robert Tibshirani提出,目前在预测模型中应用非常广泛。在新格兰文献中,有大牛提出,对于变量过多而且变量数较少的模型拟合,首先要考虑使用LASSO 惩罚函数。今天我们来讲讲怎么...
最近学习非参有用到核回归,并运用R语言来解决了一些简单的问题,下面分享一下具体过程步骤以及自己编写的code. 【代码块没有找到R语言,用的python3...(ಥ﹏ಥ)】 几个常用的核 核回归可以看作是对局部加权平均的计算,常用的核有: the boxcar kernel : K(x)=12I(x), the Gaussian kernel : K(x)=12...
Are you confused with statistical Techniques like z-test, t-test, ANOVA, MANOVA, Regression, Logistic Regression, Chi-Square, Correlation, Association, SEM, multilevel model, mediation and moderation etc. for your Data Analysis...??Then Contact Me. I will solve your Problem...If You or Your...
age + famhistory, data = df_cancer_dx, family = binomial) # summarize model tbl_regression(...
Are you confused with statistical Techniques like z-test, t-test, ANOVA, MANOVA, Regression, Logistic Regression, Chi-Square, Correlation, Association, SEM, multilevel model, mediation and moderation etc. for your Data Analysis...??Then Contact Me. I will solve your Problem...If You or Your...
Are you confused with statistical Techniques like z-test, t-test, ANOVA, MANOVA, Regression, Logistic Regression, Chi-Square, Correlation, Association, SEM, multilevel model, mediation and moderation etc. for your Data Analysis...?? Then Contact Me. I will solve your Problem... 往期精彩 R数...