在一个数据帧中将行(带有行名称)乘以其他列中的匹配列名称 [英] Multiply rows (with row names) in one data frame with matching column names in another
问题描述
我有两个数据框:
df1 <- data.frame(Values=c(0.01,0.05), row.names=c("X", "Y"))
df1
Values
X 0.01
Y 0.05
df2 <-data.frame(c(0,1,1), c(1,0,0), c(1,1,1))
colnames(df2) <- c("X","Y","Z")
df2
X Y Z
1 0 1 1
2 1 0 1
3 1 0 1
我希望在df2上执行横向操作,在每个列乘以列在df2中,其df1中的对应行,然后执行求和。
I wish to perform a rowwise operation on df2, where I multiply every column in df2 with its corresponding row in df1 and then perform a summation.
例如,对于df2的第1行,我想计算:
For example, for row 1 of df2, I wish to calculate:
df2 %>% rowwise %>% mutate(newVAL=(df1["X",]*df2[1,"X"])+(df1["Y",]*df2[1,"Y"]))
,同时排除不匹配的列(df1中的行)或具有NAs 。
while excluding columns that don't match (rows in df1) or have NAs.
df1中有几千行,df2中有数千行。
I have several thousands of rows in df1 and several thousands of rows and columns in df2.
任何帮助非常感谢!
PS。我已经在Perl中使用哈希实现了这一点,并且正在使用system()调用来在Rmarkdown文档中执行这些计算。为了保持完全可重现性,我正在尝试在R中重做。如果需要,快乐分享Perl代码。
PS. I have implemented this in Perl using hashes and was using the system() call to perform these calculations within an Rmarkdown document. In order to keep it completely reproducible, I am trying to redo it in R. Happy to share the Perl code if necessary.
谢谢。
推荐答案
如果我理解正确,看起来您需要 sweep
。
If I understand correctly, it looks like you need sweep
.
df3 <- sweep(df2[, rownames(df1)], 2, t(df1), '*')
df3$total <- rowSums(df3)
这篇关于在一个数据帧中将行(带有行名称)乘以其他列中的匹配列名称的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!