规范范围为0和1的矩阵行

问题描述

我正在尝试一次归一化矩阵数据的所有行(范围为0和1)，但是我不知道该怎么做.例如，我要标准化每个"obs1"，"obs2"，"obs3".因此，将使用每个"obs1"，"obs2"，"obs3"的最小值，最大值和总和.我的数据格式是

I am trying to normalize all rows of my matrix data at once within range 0 and 1. But I don't know how to do it..For example, I want to normalize each "obs1", "obs2", "obs3". Thus, minimum, maximum, and sum of each "obs1", "obs2", "obs3" will be used.My data format is,

`mydata

             a        b        c         d         e
obs1   8.15609  11.5379  11.1401   8.95186   7.95722
obs2 339.89800 856.3470 691.3490 590.28600 543.67200
obs3   2.12776  46.4561 136.8860 118.09100 119.86400

`

此外，当我搜索执行此操作时，人们使用了"function()".什么时候/什么用?

Also, When I searched to perform this, people used "function()". When/for what does this used?

非常感谢您的提前帮助！ :)

Thank you very much for your help in advance! :)

推荐答案

要对每一行进行规范化，可以使用apply，然后从每一列中减去最小值，然后除以最大值和最小值之间的差:

To normalize for each row, you can use apply and then subtract the minimum from each column and divide by the difference between maximum and minimum:

t(apply(mydata, 1, function(x)(x-min(x))/(max(x)-min(x))))

给您

              a         b         c         d         e
obs1 0.05553973 1.0000000 0.8889038 0.2777796 0.0000000
obs2 0.00000000 1.0000000 0.6805144 0.4848262 0.3945675
obs3 0.00000000 0.3289472 1.0000000 0.8605280 0.8736849

发生的事情是您应用了功能

What happens is that you apply the function

function(x){
   (x-min(x))/(max(x)-min(x))
}

到数据框的每一行.

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