1.7 °C vs. 3.4 °C
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: diff ~ heat + model + (1 | species)
## Data: df_2trt
##
## REML criterion at convergence: 7638.5
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -4.9756 -0.5160 0.0363 0.5486 5.5258
##
## Random effects:
## Groups Name Variance Std.Dev.
## species (Intercept) 0.01466 0.1211
## Residual 0.48457 0.6961
## Number of obs: 3591, groups: species, 20
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 6.149e-02 3.251e-02 2.529e+01 1.891 0.0701 .
## heat++ -4.273e-04 2.326e-02 3.571e+03 -0.018 0.9853
## model -1.385e-02 1.634e-02 1.806e+03 -0.848 0.3966
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) heat++
## heat++ -0.349
## model 0.113 0.014
Year-by-year effects
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: diff ~ year + model + (1 | species)
## Data: df_yrs
##
## REML criterion at convergence: 7641.5
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -4.9801 -0.5117 0.0348 0.5469 5.5321
##
## Random effects:
## Groups Name Variance Std.Dev.
## species (Intercept) 0.01506 0.1227
## Residual 0.48445 0.6960
## Number of obs: 3591, groups: species, 20
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) -5.778e+00 8.070e+00 2.357e+03 -0.716 0.474
## year 2.894e-03 3.999e-03 2.355e+03 0.724 0.469
## model -1.110e-02 1.676e-02 1.302e+03 -0.662 0.508
##
## Correlation of Fixed Effects:
## (Intr) year
## year -1.000
## model -0.219 0.220
