search for: 3_3

df <- data.frame ( "RowId" = 4:7, "x"=c("1_1", "2_2", "3_3", "3_3"), "y"=c("1_1", "3_3", "2_2", "3_3") ) How can we compare corresponding values of x and y (first value of x exacly matches with the first value of y)? If they were not matced exactly how can we ge...

...6 8 3 1 2 4 5 ques1_2 6 4 5 12 10 9 8 4 5 7 ques1_3 17 23 32 25 14 24 23 22 32 29 ques2_1 4 7 9 10 6 8 5 7 8 9 ques2_2 8 9 10 12 17 19 14 21 22 19 ques2_3 23 18 19 20 23 24 26 28 29 22 ques3_1 5 7 9 1 4 7 9 8 10 5 ques3_2 34 35 32 23 31 29 27 25 32 33 ques3_3 29 33 27 25 27 23 24 29 27 24 where the first row is the header row in a dataframe. First I want to merge the two variables treat_a and treat_b to a new variable called "treat" which will be given n if it's left blank in the variable treat_a and y if it's left blank in treat_b...

...6 8 3 1 2 4 5 ques1_2 6 4 5 12 10 9 8 4 5 7 ques1_3 17 23 32 25 14 24 23 22 32 29 ques2_1 4 7 9 10 6 8 5 7 8 9 ques2_2 8 9 10 12 17 19 14 21 22 19 ques2_3 23 18 19 20 23 24 26 28 29 22 ques3_1 5 7 9 1 4 7 9 8 10 5 ques3_2 34 35 32 23 31 29 27 25 32 33 ques3_3 29 33 27 25 27 23 24 29 27 24 where the first row is the header row in a dataframe. First I want to merge the two variables treat_a and treat_b to a new variable called "treat" which will be given n if it's left blank in the variable treat_a and y if it's left blank in treat_b...

...I have a simple question: I have a character vector like this [1] "10_1" "1_1" "11_1" "2_1" "3_1" "4_1" "5_1" "6_1" "7_1" "8_1" [11] "9_1" "1_3" "2_3" "3_3" "4_3" "1_4" "2_4" "3_4" "4_4" "5_4" [21] "6_4" "7_4" "1_5" "2_5" "10_6" "11_6" "12_6" "1_6" "2_6" "3_6" [31] "4_6&qu...

You should send this to r-help@stat.math.ethz.ch. On 03/09/2012 09:21 AM, Andrea Sica wrote: > Hello everybody, I'm looking for someone who is able with MCA and > would like to gives some help. > > If what I'm doing is not wrong, according to the purpose I have, I > need to understand how to create a dependence matrix, where I can > analyze the > dependence between