[英]Repeated Measures ANOVA in R : Must subset columns with a valid subscript vector
237 名參與者全部完成了 4 個實驗條件,這些條件由變量 A、B 的兩個水平(YesxLow、Yes x High、No x Low、No x High)描述。
我正在嘗試進行重復測量方差分析,以使用以下函數識別 4 個不同組中得分平均值的差異,R 中的 A x B:
res.aov <- anova_test(
data = my.data, dv = my.data$Score, wid = my.data$id,
within = c(my.data$A, my.data$B)
)
get_anova_table(res.aov)
但我不斷收到以下錯誤:
錯誤:必須使用有效的下標向量對列進行子集化。 x 由於精度損失,無法從 to 轉換。
調試信息:
> x
+-<error/vctrs_error_subscript_type>
| Must subset columns with a valid subscript vector.
| x Can't convert from <double> to <integer> due to loss of precision.
\-<error/vctrs_error_cast_lossy>
Can't convert from <double> to <integer> due to loss of precision.
Backtrace:
x
1. +-rstatix::anova_test(...)
2. | \-`%>%`(...)
3. | +-base::withVisible(eval(quote(`_fseq`(`_lhs`)), env, env))
4. | \-base::eval(quote(`_fseq`(`_lhs`)), env, env)
5. | \-base::eval(quote(`_fseq`(`_lhs`)), env, env)
6. | \-rstatix:::`_fseq`(`_lhs`)
7. | \-magrittr::freduce(value, `_function_list`)
8. | \-function_list[[i]](value)
9. | \-rstatix:::select_quo_variables(., data)
10. | \-rstatix:::get_quo_vars_list(data, .enquos)
11. | \-.enquos %>% map(~get_quo_vars(data, .))
12. | +-base::withVisible(eval(quote(`_fseq`(`_lhs`)), env, env))
13. | \-base::eval(quote(`_fseq`(`_lhs`)), env, env)
14. | \-base::eval(quote(`_fseq`(`_lhs`)), env, env)
15. | \-rstatix:::`_fseq`(`_lhs`)
16. | \-magrittr::freduce(value, `_function_list`)
17. | +-base::withVisible(function_list[[k]](value))
18. | \-function_list[[k]](value)
19. | \-purrr::map(., ~get_quo_vars(data, .))
20. | \-rstatix:::.f(.x[[i]], ...)
21. | \-rstatix:::get_quo_vars(data, .)
22. | \-names(data) %>% tidyselect::vars_select(!!vars) %>% magrittr::set_names(NULL)
23. | +-base::withVisible(eval(quote(`_fseq`(`_lhs`)), env, env))
24. | \-base::eval(quote(`_fseq`(`_lhs`)), env, env)
25. | \-base::eval(quote(`_fseq`(`_lhs`)), env, env)
26. | \-rstatix:::`_fseq`(`_lhs`)
27. | \-magrittr::freduce(value, `_function_list`)
28. | \-function_list[[i]](value)
29. | \-tidyselect::vars_select(., !!vars)
30. | \-tidyselect:::eval_select_impl(...)
31. | +-tidyselect:::with_subscript_errors(...)
32. | | +-base::tryCatch(...)
33. | | | \-base:::tryCatchList(expr, classes, parentenv, handlers)
34. | | | \-base:::tryCatchOne(expr, names, parentenv, handlers[[1L]])
35. | | | \-base:::doTryCatch(return(expr), name, parentenv, handler)
36. | | \-tidyselect:::instrument_base_errors(expr)
37. | | \-base::withCallingHandlers(...)
38. | \-tidyselect:::vars_select_eval(...)
39. | \-tidyselect:::walk_data_tree(expr, data_mask, context_mask)
40. | \-tidyselect:::eval_c(expr, data_mask, context_mask)
41. | \-tidyselect:::reduce_sels(node, data_mask, context_mask, init = init)
42. | \-tidyselect:::walk_data_tree(new, data_mask, context_mask)
43. | \-tidyselect:::as_indices_sel_impl(...)
44. | \-tidyselect:::as_indices_impl(x, vars, strict = strict)
45. | \-vctrs::vec_as_subscript(x, logical = "error")
46. \-vctrs:::try_catch_impl(...)
47. +-base::tryCatch(try_catch_callback(data, NULL), ...)
48. | \-base:::tryCatchList(expr, classes, parentenv, handlers)
49. | \-base:::tryCatchOne(expr, names, parentenv, handlers[[1L]])
50. | \-base:::doTryCatch(return(expr), name, parentenv, handler)
51. \-vctrs:::try_catch_callback(data, NULL)
52. \-(function () ...
53. \-vctrs:::vec_cast.integer.double(...)
54. \-vctrs::maybe_lossy_cast(out, x, to, lossy, x_arg = x_arg, to_arg = to_arg)
55. +-base::withRestarts(...)
56. | \-base:::withOneRestart(expr, restarts[[1L]])
57. | \-base:::doWithOneRestart(return(expr), restart)
58. \-vctrs:::stop_lossy_cast(...)
59. \-vctrs:::stop_vctrs(...)
我試圖將這些因素轉換為數字變量,但我仍然遇到相同的錯誤。 知道可能有什么問題嗎?
以下似乎解決了這個問題:
res.aov <- anova_test(
data = my.data, dv = Score, wid = id,
within = c(A,B)
)
get_anova_table(res.aov)
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