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R 如何解释原始尺度上混合模型的对数转换模型的系数?_R_Logarithm_Mixed Models_Exponent - Fatal编程技术网

R 如何解释原始尺度上混合模型的对数转换模型的系数?

R 如何解释原始尺度上混合模型的对数转换模型的系数?,r,logarithm,mixed-models,exponent,R,Logarithm,Mixed Models,Exponent,植物生长的完整模型如下所示: lmer(log(growth) ~ nutrition + fertilizer + season + (1|block) REML criterion at convergence: 71.9 Scaled residuals: Min 1Q Median 3Q Max -1.82579 -0.59620 0.04897 0.62629 1.54639 Random effects: Group

植物生长的完整模型如下所示:

lmer(log(growth) ~ nutrition + fertilizer + season + (1|block)
REML criterion at convergence: 71.9

Scaled residuals: 
     Min       1Q   Median       3Q      Max 
-1.82579 -0.59620  0.04897  0.62629  1.54639 

Random effects:
 Groups   Name        Variance Std.Dev.
 block     (Intercept) 0.06008  0.2451  
 Residual             0.48633  0.6974  
Number of obs: 32, groups:  tank, 16

Fixed effects:
                        Estimate Std. Error      df t value Pr(>|t|)    
(Intercept)               3.5522     0.2684 19.6610  13.233 3.02e-11 ***
nutritionP                0.2871     0.2753 13.0000   1.043  0.31601    
fertlizeradded           -0.3513     0.2753 13.0000  -1.276  0.22436    
seasonwet                 1.0026     0.2466 15.0000   4.066  0.00101 ** 
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
营养(氮/磷)、肥料(无/添加)、季节(干/湿)

模型概述如下:

lmer(log(growth) ~ nutrition + fertilizer + season + (1|block)
REML criterion at convergence: 71.9

Scaled residuals: 
     Min       1Q   Median       3Q      Max 
-1.82579 -0.59620  0.04897  0.62629  1.54639 

Random effects:
 Groups   Name        Variance Std.Dev.
 block     (Intercept) 0.06008  0.2451  
 Residual             0.48633  0.6974  
Number of obs: 32, groups:  tank, 16

Fixed effects:
                        Estimate Std. Error      df t value Pr(>|t|)    
(Intercept)               3.5522     0.2684 19.6610  13.233 3.02e-11 ***
nutritionP                0.2871     0.2753 13.0000   1.043  0.31601    
fertlizeradded           -0.3513     0.2753 13.0000  -1.276  0.22436    
seasonwet                 1.0026     0.2466 15.0000   4.066  0.00101 ** 
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
这里的植物生长仅取决于季节,生长量的增加在对数尺度上为1.0026。如果我想知道实际植物高度的增加是什么,我如何在原始数据的尺度上解释这一点?它仅仅是e(1.0026)~3cms,还是有其他的解释方法?

exp(1.0026)
确实大约是3(2.72),但这个值表示成比例的变化。在其他条件相同的情况下,雨季的生长速度是旱季的三倍