梳理数据框，行未正确对齐

Question

I'm trying to combine 2 data frames ( 1960 and 2000 ). These data frames are different lengths but the column names are the same. My first attempt was to use the plyr package and bind based on the column names:

library(plyr)
combined <- rbind.fill(1960[c("Name","Gender","1960")],2000[c("Name","Gender","2000")])

This was fine but I noticed that it wasn't merging the rows properly. A sample of the data in the data frame shows that there are no females called Aaron born in 1960 on the first row but the 3rd row shows there are 20.

Name   Gender  1960  2000
Aaron  F       NA    35    29613
Aaron  M       NA    9548  2728
Aaron  F       20    NA    7511
Aaron  M       1772  NA

I then tried smartbind but got the same result:

library(gtools)
t <- smartbind(1960, 2000)

I'm not sure how to get female and male entries to correspond. I've also tried merging the data frames but I don't really like the output.

m <- merge(1960, 2000, by = c("Name"), all = TRUE)
m[is.na(m)] <- 0  

If anyone could advise how I can get the rows to line up properly based on the name and gender I'd really appreciate.

EDIT: The two data frames consist of 3 columns: Name , Gender and Total . The Total column represents the number of people in the year with a particular name. The 1960 data frame shows the total per name for that year, and the 2000 data frame shows the total for that year. When I merge the 2 data frames the output is:

Name   Gender.x  1960  Gender.y  2000  
Aaron  F         20    F         35 
Aaron  F         20    M         9548 
Aaron  M         1772  F         35 
Aaron  M         1772  M         9548 

What I don't like about merging them is that the M and F genders are showing on the same line. I can manipulate them in the data frame output so they line up but I'd rather produce it properly with code if you know what I mean?

Answer 1

To conclude the question and for future reference :

m <- merge(yob1960, yob2000, by = c("Name", "Gender" ), all = TRUE)

This will keep name and gender combinations in the same row for both years.