I need help creating code for a linear mixed model in R studio. the data ive been provided is football to show the influence of 1) shots and 2) through balls on goals. TIA. needs to look similar to the example. I'm quite new to R with university and they've pretty much only taught us how to copy and paste their code so i dont know what things mean when i go to solve my own problems. i saw lme4 when i asked chatgpt but couldn't get it to work.
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You can use the lme4 package to create a linear mixed model in R. Try this code:
library(lme4)
# Example model: Goals predicted by Shots and Through Balls, with Team as a random effect
model <- lmer(Goals ~ Shots + ThroughBalls + (1 | Team), data = your_data)
# Summary of the model
summary(model)
Make sure your dataset (your_data) has the correct column names for Goals, Shots, ThroughBalls, and Team. If lme4 isn’t working, try installing it first with install.packages("lme4").
sorry i mean. 1 graph with goals and shots and a 2nd graph with goals and through balls. why would it have 1 | team ( there is no 'team' in the data). thank you for the help ill give it a go.
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