Reputation: 7517
In my mixed regression model below, I get an output for meanses
and an output for ses
estimates. Is it also possible to get an output (e.g., Std. Error
) for meanses - ses
(3.675037 - 2.191165
) in this model (I'm open to using any packages)?
library(lme4)
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 # can we have `Std. Error` for `meanses - ses`?
Upvotes: 0
Views: 117
Reputation: 8844
Something like this
> summary(multcomp::glht(fit, "ses - meanses = 0"))
Simultaneous Tests for General Linear Hypotheses
Fit: lmer(formula = math ~ ses + meanses + (1 | sch.id), data = hsb)
Linear Hypotheses:
Estimate Std. Error z value Pr(>|z|)
ses - meanses == 0 -1.484 0.422 -3.517 0.000437 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
(Adjusted p values reported -- single-step method)
Upvotes: 1