*我省略了脚本的重复部分以使其更短(它们的数组多于lHipJoint数组和它们的计算但是我把它们排除了。)
var fs = require('fs');
var lHipJoint = new Array();
//open the first text file
fs.readFile('file.txt','utf8', function (err, data)
{
if (err) throw err;
//split the data into an array with each line as an element
stuff=data.split('\n');
for (var i = 0; i < stuff.length; i++)
{
//function that processes each line into an array
//with each number as an element and does the euclidean dis.
processLine(stuff[i]);
}
data.length = 0;
stuff.length = 0;
});
//do the same for the next file
fs.readFile('file2.txt','utf8', function (err, data)
{
if (err) throw err;
stuff=data.split('\n');
for (var i = 0; i < stuff.length; i++)
{
processLine(stuff[i]);
}
data.length = 0;
stuff.length = 0;
});
//and again
fs.readFile('file3.txt','utf8', function (err, data)
{
if (err) throw err;
stuff=data.split('\n');
for (var i = 0; i < stuff.length; i++)
{
processLine(stuff[i]);
}
data.length = 0;
stuff.length = 0;
});
//and again
fs.readFile('file4.txt','utf8', function (err, data)
{
if (err) throw err;
stuff=data.split('\n');
for (var i = 0; i < stuff.length; i++)
{
processLine(stuff[i]);
}
data.length = 0;
stuff.length = 0;
});
//and again
fs.readFile('file5.txt','utf8', function (err, data)
{
if (err) throw err;
stuff=data.split('\n');
for (var i = 0; i < stuff.length; i++)
{
processLine(stuff[i]);
}
data.length = 0;
stuff.length = 0;
});
//and again
fs.readFile('file6.txt','utf8', function (err, data)
{
if (err) throw err;
stuff=data.split('\n');
for (var i = 0; i < stuff.length; i++)
{
processLine(stuff[i]);
}
data.length = 0;
stuff.length = 0;
});
//function to split each line into an array with each number as an element
//then parse the number strings into floats and do the euclidean distances,
//storing the values in arrays for each bone.
function processLine(line)
{
var line1 = line
var numbers = line1.split(" ");
line1.length = 0;
for (var i = 0; i < numbers.length; i++)
{
var number = parseFloat(numbers[i]);
line1[i] = number[i];
}
lHipJoint = Math.sqrt((line1[6] - line1[9])*(line1[6] - line1[9]) + (line1[7] - line1[10])*(line1[7] - line1[10]) + (line1[8] - line1[11])*(line1[8] - line1[11]));
//reset the arrays so they can be reused
line1.length = 0;
numbers.length = 0;
number.length = 0;
}
//calculations and output for the mean and SD of each bone's distance from the root bone.
for(var i = 0; i < lHipJoint.length; i++)
{
var lHipJointTotal = lHipJointTotal + lHipJoint[i];
}
var lHipJointMean = lHipJointTotal/lHipJoint.length;
for(var i = 0; i < lHipJoint.length; i++)
{
var lHipJointSDSum = lHipJointSDSum + (lHipJoint[i] - lHipJointMean)*(lHipJoint[i] - lHipJointMean);
}
var lHipJointSD = Math.sqrt(lHipJointSDSum/lHipJoint.length);
console.log("The mean distance of the left hip joint from the root bone is " +lHipJointMean+ " and the standard deviation is " +lHipJointSD+ ".\n");
答案 0 :(得分:1)
你在我的脚本中会做很多奇怪的事情 我尽可能地把你作为男人。
所以首先不要重置数组。 你的垃圾收集语言只需重新分配新的语言。
同样在processLine函数中,您将数字分配给字符串的索引 我认为你认为它是一个阵列,但它不是一回事。 字符串在javascript中是不可变的(无法更改)。
在聚合for循环中,你是文件的底部 在每次迭代中声明变量。你想在这样的循环之前声明它。
var x = 0;
for(var i = 0; i < list.length; i++) {
x = x + ......
}
你的cals阅读文件都做同样的事情。 所以你想要使用相同的功能。 写下来。
您正在分配给lHipJoint数组 processLine函数我的理解是你要添加 计算出的数组值。 您可以使用像这样的推送方法来完成此操作
lHipJoint.push(Math.sqr(........
使用异步文件读取时也存在问题 在您阅读文件之前,先打印出结果。 如果你想使用异步的,你需要协调。 您只在完成所有文件读取时打印结果。 但在这种情况下,一个提示是使用非异步的。
我知道这是一项作业,所以你可能不想读我的作品 试图纠正下面的程序。
也许在你递交之后阅读它,但我把它留在这里 对于q&amp;参考其他人阅读此内容。
var fs = require("fs");
var filePaths = ["file.txt", "file2.txt",
"file3.txt", "file4.txt",
"file5.txt", "file6.txt"];
var lHipJoint = [];
filePaths.forEach(function(path) {
var content = fs.readFileSync(path, "utf-8");
var lines = content.split("\n");
lines.forEach(function(line) {
if(line.trim() === "") return;
var numbers = line.split("\t").map(parseFloat);
// im not touching your calculation :D
lHipJoint.push(Math.sqrt((numbers[6] - numbers[9])*(numbers[6] - numbers[9])
+ (numbers[7] - numbers[10])*(numbers[7] - numbers[10]) + (numbers[8] - numbers[11])
* (numbers[8] - numbers[11])));
});
});
var lHipJointTotal = lHipJoint.reduce(function(p, c) {
return p + c;
});
var lHipJointMean = lHipJointTotal / lHipJoint.length;
var lHipJointSDSum = lHipJoint.reduce(function(p, c) {
return p + (c - lHipJointMean) * (c - lHipJointMean);
}, 0);
var lHipJointSD = Math.sqrt(lHipJointSDSum/lHipJoint.length);
console.log("The mean distance of the left hip joint from the root bone is "
+ lHipJointMean + " and the standard deviation is " + lHipJointSD + ".\n");
这个程序可能有一些错误我不知道数据看起来如何,但我希望这会有所帮助 你。