R错误变量的无效类型（列表）
我导入matlab文件并构造一个数据帧，matlab文件包含两列，每行维护一个有矩阵的单元格，我构造一个数据帧来运行随机林。但我得到以下错误R错误变量的无效类型（列表）,r,matlab,machine-learning,R,Matlab,Machine Learning,我导入matlab文件并构造一个数据帧，matlab文件包含两列，每行维护一个有矩阵的单元格，我构造一个数据帧来运行随机林。但我得到以下错误 Error in model.frame.default(formula = expert_data_frame$t_labels ~ ., : invalid type (list) for variable 'expert_data_frame$t_labels' 以下是我如何导入matlab文件并构建数据帧的代码： all_exp_trai
Error in model.frame.default(formula = expert_data_frame$t_labels ~ ., :
invalid type (list) for variable 'expert_data_frame$t_labels'
all_exp_traintest <- readMat(all_exp_filepath);
len = length(all_exp_traintest$exp.traintest)/2;
for (i in 1:len) {
expert_train_df <- data.frame(all_exp_traintest$exp.traintest[i]);
labels = data.frame(all_exp_traintest$exp.traintest[i+302]);
names(labels)[1] <- "t_labels";
expert_train_df$t_labels <- labels;
expert_data_frame <- data.frame(expert_train_df);
rf_model = randomForest(expert_data_frame$t_labels ~., data=expert_data_frame, importance=TRUE, do.trace=100);
}
all_exp_traintest$exp.traintest[1]
$<NA>
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all\u exp\u traintest$exp.traintest[1]
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[41,] 0 5.0 1.75 5.875 3.8125 4.93750 0.015625 0.0000000 0.03906250 0.000000000 0.0000000000 0.0000000000
[42,] 10 3.5 11.75 7.625 9.8750 0.03125 0.000000 0.0781250 0.00000000 0.000000000 0.0000000000 0.0004882812
[43,] 7 23.5 15.25 19.750 0.0625 0.00000 0.156250 0.0000000 0.00000000 0.000000000 0.0009765625 0.0078125000
[44,] 47 30.5 39.50 0.125 0.0000 0.31250 0.000000 0.0000000 0.00000000 0.001953125 0.0156250000 0.0000000000
[45,] 61 79.0 0.25 0.000 0.6250 0.00000 0.000000 0.0000000 0.00390625 0.031250000 0.0000000000 0.0000000000
[46,] 158 0.5 0.00 1.250 0.0000 0.00000 0.000000 0.0078125 0.06250000 0.000000000 0.0000000000 0.0004882812
[47,] 1 0.0 2.50 0.000 0.0000 0.00000 0.015625 0.1250000 0.00000000 0.000000000 0.0009765625 0.0000000000
[48,] 0 5.0 0.00 0.000 0.0000 0.03125 0.250000 0.0000000 0.00000000 0.001953125 0.0000000000 0.0000000000
[49,] 10 0.0 0.00 0.000 0.0625 0.50000 0.000000 0.0000000 0.00390625 0.000000000 0.0000000000 0.0000000000
[50,] 0 0.0 0.00 0.125 1.0000 0.00000 0.000000 0.0078125 0.00000000 0.000000000 0.0000000000 0.0000000000
[51,] 0 0.0 0.25 2.000 0.0000 0.00000 0.015625 0.0000000 0.00000000 0.000000000 0.0000000000 0.0000000000
[52,] 0 0.5 4.00 0.000 0.0000 0.03125 0.000000 0.0000000 0.00000000 0.000000000 0.0000000000 0.0000000000
[53,] 1 8.0 0.00 0.000 0.0625 0.00000 0.000000 0.0000000 0.00000000 0.000000000 0.0000000000 0.0000000000
[54,] 16 0.0 0.00 0.125 0.0000 0.00000 0.000000 0.0000000 0.00000000 0.000000000 0.0000000000 0.0000000000
[55,] 0 0.0 0.25 0.000 0.0000 0.00000 0.000000 0.0000000 0.00000000 0.000000000 0.0000000000 0.0000000000
[56,] 0 0.5 0.00 0.000 0.0000 0.00000 0.000000 0.0000000 0.00000000 0.000000000 0.0000000000 0.0000000000
l <- list(a = matrix(1:25,5,5),b = 1:5,c = letters[1:5],d = NA)
> l
$a
[,1] [,2] [,3] [,4] [,5]
[1,] 1 6 11 16 21
[2,] 2 7 12 17 22
[3,] 3 8 13 18 23
[4,] 4 9 14 19 24
[5,] 5 10 15 20 25
$b
[1] 1 2 3 4 5
$c
[1] "a" "b" "c" "d" "e"
$d
[1] NA
> l[1]
$a
[,1] [,2] [,3] [,4] [,5]
[1,] 1 6 11 16 21
[2,] 2 7 12 17 22
[3,] 3 8 13 18 23
[4,] 4 9 14 19 24
[5,] 5 10 15 20 25
> l[[1]]
[,1] [,2] [,3] [,4] [,5]
[1,] 1 6 11 16 21
[2,] 2 7 12 17 22
[3,] 3 8 13 18 23
[4,] 4 9 14 19 24
[5,] 5 10 15 20 25
expert_data_frame$t_labels ~.
t_labels ~.