每行计数唯一值 [英] Count number of unique values per row
问题描述
我想计算每行的唯一值数量。
例如使用此数据框:
example< - data.frame(var1 = c(2,3,3,2,4,5),
var2 = c(2,3,5, 4,2,5),
var3 = c(3,3,4,3,4,5))
我想添加一个计数每行唯一值的数量的列;例如2为第一行(因为第一行有2和3),第二行为1(因为第二行只有3)。
有人知道一个简单的代码吗?到目前为止,我只找到用于计算每列唯一值的数量的代码。
函数返回每行中唯一值数量的向量:
,function(x)length(unique(x)))
您可以将它附加到数据。框架使用以下两种方式(如果您要将该列命名为 count
):
示例< - cbind(example,count = apply(example,1,function(x)length(unique(x))))
pre>
或
example $ count< - apply ,1,function(x)length(unique(x)))
I want to count the number of unique values per row.
For instance with this data frame:
example <- data.frame(var1 = c(2,3,3,2,4,5), var2 = c(2,3,5,4,2,5), var3 = c(3,3,4,3,4,5))
I want to add a column which counts the number of unique values per row; e.g. 2 for the first row (as there are 2's and 3's in the first row) and 1 for the second row (as there are only 3's in the second row).
Does anyone know an easy code to do this? Up until now I only found code for counting the number of unique values per column.
解决方案This
apply
function returns a vector of the number of unique values in each row:apply(example, 1, function(x)length(unique(x)))
You can append it to your data.frame using on of the following two ways (and if you want to name that column as
count
):example <- cbind(example, count = apply(example, 1, function(x)length(unique(x))))
or
example$count <- apply(example, 1, function(x)length(unique(x)))
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