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[英]Calculation of intercepts & slopes in a linear model with two factors containing 3 levels and interaction in r
[英]R making a table of factors with different categorical levels log linear model
這是我嘗試制作表格的代碼:
table <- data.frame(expand.grid(
health = factor(c("support", "oppose"), levels = c("support", "oppose")), +
information = factor(c("support", "oppose"), levels = c("support", "oppose")), +
gender = factor(c("male", "female"), levels = c("support", "oppose")),
count = c(76, 160, 6, 25, 114, 181, 11, 48)))
R unexpected '=' after info
說unexpected '=' after info
。 我的教授在課堂上做了一個這樣的例子,他的代碼有效。 我正在嘗試對數據進行對數線性模型
刪除+
s:
table<- data.frame(expand.grid(health=factor(c("support", "oppose"),
levels=c("support", "oppose")), information = factor(c("support",
"oppose"), levels=c("support", "oppose")), gender = factor(c("male",
"female"), levels=c("support", "oppose")), count=c(76, 160, 6, 25, 114,
181, 11, 48)))
它們可能來自在 R 控制台中復制/粘貼代碼的回顯,但會給您帶來語法錯誤。
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