lme4: Obtaining the SE of difference in two fixed-effects slope
Dear Simon, You want to compute a contrast. You can do this with the glht() function from the multcomp package. Best regards, ir. Thierry Onkelinx Statisticus / Statistician Vlaamse Overheid / Government of Flanders INSTITUUT VOOR NATUUR- EN BOSONDERZOEK / RESEARCH INSTITUTE FOR NATURE AND FOREST Team Biometrie & Kwaliteitszorg / Team Biometrics & Quality Assurance thierry.onkelinx at inbo.be Havenlaan 88 bus 73, 1000 Brussel www.inbo.be /////////////////////////////////////////////////////////////////////////////////////////// To call in the statistician after the experiment is done may be no more than asking him to perform a post-mortem examination: he may be able to say what the experiment died of. ~ Sir Ronald Aylmer Fisher The plural of anecdote is not data. ~ Roger Brinner The combination of some data and an aching desire for an answer does not ensure that a reasonable answer can be extracted from a given body of data. ~ John Tukey /////////////////////////////////////////////////////////////////////////////////////////// <https://www.inbo.be> Op do 29 okt. 2020 om 03:30 schreef Simon Harmel <sim.harmel at gmail.com>:
Dear All,
I'm interested in obtaining standard error (SE) of [*meanses - ses]*
estimate
in my model below which serves as the contextual effect coefficient.
Is there a way to obtain this SE in R?
hsb <- read.csv('
https://raw.githubusercontent.com/rnorouzian/e/master/hsb.csv')
fit <- lmer(math ~ ses + meanses + (1|sch.id), data = hsb)
coef(summary(fit))
Estimate Std. Error t value
(Intercept) 12.661262 0.1493726 84.762956
ses 2.191165 0.1086673 20.163983
meanses 3.675037 0.3776607 9.731055
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