Question

我有以下文件有3列，我想阅读以下文件并存储ArrayList，如何使用Scanner或Buffer reader阅读？

例如。

ArrayList<Integert>[][] M = new ArrayList[size][size]

M[1][859].add(1806476)
M[3][800].add(2131700)
M[3][800].add(2734107).. so one

A   B      C
1   859 [1806476]
3   800 "[2131700, 2734107, 2877209, 2877209]"
4   815 [2883211]
7   815 "[2429412, 2886810, 2886804]"
7   362 [2909301]
7   806 [89573]
7   853 [2182646]
8   800 "[2910937, 2836340, 2884417]"

Answer 1

基本上您想将其存储在arrayList中。您可以使用以下方法

创建一类字段

class Multi {
    int a, b, c;
}

public void addrecords(int i, int j, int k) {
    Multi multi = new Multi();
    Multi.a = i;
    Multi.b = j;
    Multi.c = k;
    records.add(Multi);
}


List<Multi> records;
//code goes here

Answer 2

> x=read.spss("F:\\Google Drive\\Master\\Thesis\\Predictors.sav", use.value.labels=FALSE, to.data.frame=TRUE,
+ max.value.labels=FALSE, trim.factor.names=TRUE,
+ trim_values=TRUE, reencode=NA, use.missings=to.data.frame,
+ sub=".", add.undeclared.levels="sort",
+ duplicated.value.labels="append",
+ duplicated.value.labels.infix="_duplicated_")

> y=read.spss("F:\\Google Drive\\Master\\Thesis\\Response.sav", use.value.labels=FALSE, to.data.frame=TRUE,
+ max.value.labels=FALSE, trim.factor.names=TRUE,
+ trim_values=TRUE, reencode=NA, use.missings=to.data.frame,
+ sub=".", add.undeclared.levels="sort",
+ duplicated.value.labels="append",
+ duplicated.value.labels.infix="_duplicated_")

> fit=glmnet(x, y, family="mgaussian", alpha=1.0, weights=rep(1,26), offset=NULL, nlambda=100)
Error in mrelnet(x, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  (list) object cannot be coerced to type 'double'

当你将String解析为Integer时，

加上try / catch块

从Java中读取文件的输入

2 个答案: