emmeans

问题 I want to visualize the results of a linear model where dependent variable values change as a function of discrete x-values. Since my x-values represent consecutive days, I want to annotate the change from day to day, in percents. How can I do this in a line plot? My Data I want to measure people's mood. Every day I collect responses from 1000 different people on how they feel. I therefore get a daily average for mood, and I want to see how it changes from one day to another. library

问题 I want to visualize the results of a linear model where dependent variable values change as a function of discrete x-values. Since my x-values represent consecutive days, I want to annotate the change from day to day, in percents. How can I do this in a line plot? My Data I want to measure people's mood. Every day I collect responses from 1000 different people on how they feel. I therefore get a daily average for mood, and I want to see how it changes from one day to another. library

问题 Here is my data frame (my real DF has way more data points): rearing.temp<-c("15", "15", "15", "15", "19", "19", "19", "19") source<-c("field", "field", "woods", "woods", "field", "field", "woods", "woods") runway.temp<-c("40","20","40","20","40","20","40","20") velocity<-c("2.3", "2.1", "1.9", "1.9", "2.3", "2.2", "2.3", "2.0") snail<-data.frame(rearing.temp, source, runway.temp, velocity) Here is my model: mod <- lmer(velocity ~ runway.temp*source*rearing.temp + (1|family) + (1|collection

问题 This works: testmodel=glm(breaks~wool,data=warpbreaks) emmeans::emmeans(testmodel,"wool") This works: warpbreaks %>% group_by(tension) %>% do(models=glm(breaks~wool,data=.)) %>% ungroup() %>% mutate(means=map(models,~emmeans::emmeans(.x,"wool"))) This doesn't: warpbreaks %>% group_by(tension) %>% nest() %>% mutate(models=map(data,~glm(breaks~wool,data=.x))) %>% mutate(means=map(models,~emmeans::emmeans(.x,"wool"))) Error in is.data.frame(data) : object '.x' not found Error in mutate_impl(

问题 I am trying to get the type 3 ANOVA table with emmeans::joint_tests() from a list with the following code. I don't fully understand the error message. The code that tutors me came from http://pages.stat.wisc.edu/~yandell/R_for_data_sciences/curate/tidyverse.html library(dplyr) library(nlme) library(emmeans) data("diamonds") diamonds %>% split(.$cut) %>% map(~ gls(price ~ x + y + z, weights = varIdent(form = ~ 1|color), data = .))%>% map(summary) The error message seems to suggest that I save

来源： https://stackoverflow.com/questions/64446605/contrast-of-contrast-with-emmeans-second-differences

来源： https://stackoverflow.com/questions/64446605/contrast-of-contrast-with-emmeans-second-differences

来源： https://stackoverflow.com/questions/64482659/testing-contrast-of-contrast-first-second-difference-in-outcome

来源： https://stackoverflow.com/questions/64482659/testing-contrast-of-contrast-first-second-difference-in-outcome

来源： https://stackoverflow.com/questions/64482659/testing-contrast-of-contrast-first-second-difference-in-outcome