我在Knime中使用R代码，这是一个数据分析平台。我从一个块中取一个矩阵，该块从xls文件中读取一个表。该矩阵称为＆＃34; my_matrix＆＃34;。然后，我想将apriori算法应用于此矩阵的三列，但我得到上述错误。有什么想法吗？
请注意＆＃34; sum（is.na（my_matrix））＆＃34;输出[1] 0
require(arules)
#require(arulesViz)
#some code to retreive the my_matrix
#my_matrix
my_rows= nrow(my_matrix);
my_cols= ncol(my_matrix);
matrix_temp = my_matrix[,4:5];
matrix_temp = array(c(matrix_temp, my_matrix[,20]), dim=c(my_rows,3))
#matrix_temp
my_matrix = matrix_temp
sum(is.na(my_matrix)) #output: [1] 0
my_transactions = as(my_matrix, "transactions");
summary(my_transactions)
my_matrix是一个表，其中的列是这种类型：（String，Integer，Integer，String，String，Integer，Double，Integer，Double，Double，Integer，Double，Double，Integer，Double，Double，Integer，Double ，整数，字符串）。表中有3300行。
> my_matrix = as(knime.in, "matrix")
> dput(head(my_matrix, 5))
structure(c("KS", "OH", "NJ", "OH", "OK", "128", "107", "137",
" 84", " 75", "415", "415", "415", "408", "415", "noIP", "noIP",
"noIP", "IP", "IP", "Vmail", "Vmail", "noVmail", "noVmail", "noVmail",
"25", "26", " 0", " 0", " 0", "265.1", "161.6", "243.4", "299.4",
"166.7", "110", "123", "114", " 71", "113", "45.07", "27.47",
"41.38", "50.90", "28.34", "197.4", "195.5", "121.2", " 61.9",
"148.3", " 99", "103", "110", " 88", "122", "16.78", "16.62",
"10.30", " 5.26", "12.61", "244.7", "254.4", "162.6", "196.9",
"186.9", " 91", "103", "104", " 89", "121", "11.01", "11.45",
" 7.32", " 8.86", " 8.41", "10.0", "13.7", "12.2", " 6.6", "10.1",
" 3", " 3", " 5", " 7", " 3", "2.70", "3.70", "3.29", "1.78",
"2.73", "1", "1", "0", "2", "3", "notChurning", "notChurning",
"notChurning", "notChurning", "notChurning"), .Dim = c(5L, 20L
), .Dimnames = list(c("Row0", "Row1", "Row2", "Row3", "Row4"),
c("State", "Account length", "Area code", "International plan",
"Voice mail plan", "Number vmail messages", "Total day minutes",
"Total day calls", "Total day charge", "Total eve minutes",
"Total eve calls", "Total eve charge", "Total night minutes",
"Total night calls", "Total night charge", "Total intl minutes",
"Total intl calls", "Total intl charge", "Customer service calls",
"Churn")))