r中矩阵运算的嵌套for循环

我有三个矩阵，其中我需要3个嵌套的循环，以便进行我需要的计算。我的系数矩阵如下所示：

lm.obj.coefficients lm.obj.coefficients.1 lm.obj.coefficients.2 lm.obj.coefficients.3     lm.obj.coefficients.4 lm.obj.coefficients.5 lm.obj.coefficien
4.552 0.61061 -0.06482 -0.22394 -0.08651 0.00306 -0.02061 -0.03066 2.35086 5.86607 0.92518 -8.1581     -0.21651 5.43852 -0.23804 -0.24025 -0.52292 -0.2
NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 
0.15725 0.13373 0.03761 -0.05429 0.0286 0.06517 0.05556 0.0515 0.01382 -0.06581 0.27052 1.06467 -0.01288 0.59487 0.02043 0.02361 -0.03473 0.01682 

lm.obj.residuals lm.obj.residuals.1 lm.obj.residuals.2 lm.obj.residuals.3 lm.obj.residuals.4 lm.obj.residuals.5 lm.obj.residuals.6 lm.obj.residuals
0.00231 -1.89973 -0.0127 2.06897 -0.01311 -0.01215 -0.01229 -0.01237 -0.30846 -0.10754 0.06169 -0.18151 -0.0109 0.24604 -0.08252 -0.08839 0.02824 0
0.07514 0.18595 0.02237 -2.36732 0.02135 0.02571 0.02452 0.02403 0.06232 -0.05302 -0.0302 -0.09606 0.00519 -0.61982 -0.01513 -0.01797 0.01261 -0.00

矩阵剩余看起来像：

lm.obj.coefficients lm.obj.coefficients.1 lm.obj.coefficients.2 lm.obj.coefficients.3     lm.obj.coefficients.4 lm.obj.coefficients.5 lm.obj.coefficien
4.552 0.61061 -0.06482 -0.22394 -0.08651 0.00306 -0.02061 -0.03066 2.35086 5.86607 0.92518 -8.1581     -0.21651 5.43852 -0.23804 -0.24025 -0.52292 -0.2
NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 
0.15725 0.13373 0.03761 -0.05429 0.0286 0.06517 0.05556 0.0515 0.01382 -0.06581 0.27052 1.06467 -0.01288 0.59487 0.02043 0.02361 -0.03473 0.01682 

lm.obj.residuals lm.obj.residuals.1 lm.obj.residuals.2 lm.obj.residuals.3 lm.obj.residuals.4 lm.obj.residuals.5 lm.obj.residuals.6 lm.obj.residuals
0.00231 -1.89973 -0.0127 2.06897 -0.01311 -0.01215 -0.01229 -0.01237 -0.30846 -0.10754 0.06169 -0.18151 -0.0109 0.24604 -0.08252 -0.08839 0.02824 0
0.07514 0.18595 0.02237 -2.36732 0.02135 0.02571 0.02452 0.02403 0.06232 -0.05302 -0.0302 -0.09606 0.00519 -0.61982 -0.01513 -0.01797 0.01261 -0.00

和国防部：

row.names       (Intercept) as.factor(tissue3)Gastrointestinal as.factor(tissue3)Hematopoietic as.factor(tissue3)Musculo_endo as.factor(Submission_
Adipose_Derived_1       1 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 -0.0242845514406503 -0.28919947646494 0.164493834188179 -0.189891956939011 -0.01075313372
Adipose_Derived_92      1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 -0.0387879882628922 -0.266146134934971 0.125790966152757 -0.253593603953948 0.00062908003
Adipose_Derived_93      1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0.0856909184783238 -0.267523926775753 0.0601909297700556 -0.418856504832572 -0.0421275186

我的代码是：

coeff<-read.table("lm_coeff_rounded.txt",header=T,colClasses="numeric",nrows=31,comment.char="")

resid<-read.table("lm_resid_rounded.txt",header=T,colClasses="numeric",nrows=103,comment.char="")

mod<-read.table("mod.our",header=T)

coeff<-as.matrix(coeff)
resid<-as.matrix(resid)
mod<-as.matrix(mod)

coeff<-coeff[-2,]
mod<-mod[,-1]


cov.pred<-matrix(0,102,10)

for (j in 1:10){
  for (i in 1:102){
    for(z in 5:29){
      cov.pred[i,j]<-coeff[1,j] + resid[i,j] + (coeff[z,j]*mod[i,z])
    }
  }
}
write.table(cov.pred,"covariate_predicted_folds.txt",row.names=F,quote=F)

我发现以下错误：

/bin/sh:BASH\u FUNC\u模块：第0行：意外标记附近的语法错误' /bin/sh:BASH_FUNC_模块：第0行：BASH_FUNC_模块{eval/usr/bin/modulecmd BASH$*' /bin/sh:导入“BASH\u FUNC\u模块”的函数定义时出错 系数[z，j]*mod[i，z]中的错误： 二进制运算符的非数值参数

---

有人知道问题出在哪里吗？

您可以查看错误消息：

Error in coeff[z, j] * mod[i, z] : non-numeric argument to binary operator

这表示您正在计算具有非数值参数的产品

因此，表mod包含的元素不是数字。如果您运行代码直到出现错误并且所有操作都停止，那么您应该能够通过键入mod[i，z]获得该值

我不确定bash错误，它们似乎不合适，与R无关