'Y':np.random.randn(n),'Z':np.random.randn(n)})# 让Y与X和Z相关data['Y']+=0.5*data['X']+0.3*data['Z']# 计算偏相关系数partial_corr=pg.partial_corr(data=data,x='X',y='Y',covar='Z')print
进行偏相关分析 接下来,我们可以使用pingouin中的partial_corr函数来进行偏相关分析。这个函数可以接受多个参数,其中x和y是我们想要分析的两个变量,而covar是我们希望控制的变量。 importpingouinaspg# 进行偏相关分析partial_corr_result=pg.partial_corr(data=data,x='X',y='Y',covar='Z')print(partial_corr_re...
statsmodels示例: sm.OLS:构建普通最小二乘法(OLS)线性回归模型。 model_x.resid和model_y.resid:计算回归模型的残差。 sm.stats.corr_test:计算两个残差序列之间的相关系数,即偏相关系数。 pingouin示例: pg.partial_corr:直接计算偏相关系数,其中x和y是要分析的变量,covar是控制变量。5...
import pingouin as pg # partial correlation pingouin.partial_corr(data=None, x=None, y=None, co...
DataFrame(data, columns=["currentGrade", "hours", "examScore"]) print(f"The dataset is {dataframe}") partCorrCoeff = pg.partial_corr(data=df, x="hours", y="examScore", covar="currentGrade") print(f"The partial correlation is {partCorr}") ...
partial_corr=pgpartial_corr(data=data, x='variable1',y='variable2',covar='variable3') ``` 3、数据可视化 可视化在调查报告中起着重要的作用,它可以直观地展示数据的特征和关系。`matplotlib`是Python中最基本的绘图库。例如,绘制折线图: ```python import matplotlibpyplot as plt pltplot(data'x_column...
pingouin>>>pip install pingouinimport pingouin as pg # partial correlation pingouin.partial_corr(...
anova(dv='Scores', between='Group', detailed=True) # Example 2 | Pairwise correlations data = pg.read_dataset('mediation') data.pairwise_corr(columns=['X', 'M', 'Y'], covar=['Mbin']) # Example 3 | Partial correlation matrix data.pcorr() The functions that are currently ...
importpingouinaspg# Example 1 | ANOVAdf=pg.read_dataset('mixed_anova')df.anova(dv='Scores',between='Group',detailed=True)# Example 2 | Pairwise correlationsdata=pg.read_dataset('mediation')data.pairwise_corr(columns=['X','M','Y'],covar=['Mbin'])# Example 3 | Partial correlation ...
0), pg.K_DOWN: (0, 20), pg.K_LEFT: (-20, 0)} for event in pg.event.get(pg.KEYDOWN): dx, dy = deltas.get(event.key, (0, 0)) rect = rect.move((dx, dy)) screen.fill(pg.Color('black')) pg.draw.rect(screen, pg.Color('white'), rect) pg.display.flip() pg.quit...