R:如何按列重新缩放矩阵 [英] R: How to rescale my matrix by column

问题描述

我有一个疾病状态states0CommercialA的矩阵，其中列是状态(即无疾病"，疾病"，死亡")，行是模型周期(即1、2、3， 4等).

I have a matrix of disease states states0CommercialA, where the columns are states (i.e., "no disease", "disease", "dead") and the rows are model cycles (i.e., 1, 2, 3, 4, etc.).

我正试图将其乘以成本commercialMedExp的向量，其中每个成本对应于一种疾病状态.我尝试了以下操作:

I'm trying to multiply this by a vector of costs commercialMedExp, wherein each cost corresponds to a disease state. I've attempted the following:

commercialMedExp * states0CommercialA

，但似乎乘法是跨列而不是跨行发生的.有人可以为我提供正确的语法吗?

but it appears as though the multiplication is occurring across columns instead of across rows. Could someone help me with the correct syntax?

推荐答案

类似

commercialMedExp0A <- t(apply(states0CommercialA, 1, function(x){ x * commercialMedExp}))

只要states0CommericialA中的列数与commercialMedExp的长度相同，

就应该起作用.如果不是，则必须对数据进行子集化.例如，如果疾病状态在第13至18列

should work so long as the number of columns in states0CommericialA is the same length as commercialMedExp. If it is not you would have to subset the data. For example, if the disease states are in columns 13 through 18

    commercialMedExp0A <- t(apply(states0CommercialA[,c(13:18)], 1, function(x){ x * commercialMedExp}))

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