r - Unique within a column in data frame -


from dataframe this

df <- read.table(text = "string  found   count                  0-025823    0    1                     1-042055    1    1                     1-018396    1    2                     1-018396    1    2                     1-002984    1    3                     1-002984    1    3                     1-002984    1    3", header = true)

i want following output:

string  found   count   desired output 0-025823    0    1       1 1-042055    1    1       1 1-018396    1    2       1 1-018396    1    2       0 1-002984    1    3       1 1-002984    1    3       0 1-002984    1    3       0

the desired output column showing unique value starting top bottom. first unique value found tagged 1 , rest (duplicates) 0s.

i have used following formula in excel output in excel:

=if(countif($a$2:a2,a2)>1,0,1) sequenceof columns same above.

i have used loops, aggregate , within functions these did not give desired result.

you want mark duplicated values 0:

df <- read.table(text = "string  found   count                  0-025823    0    1                     1-042055    1    1                     1-018396    1    2                     1-018396    1    2                     1-002984    1    3                     1-002984    1    3                     1-002984    1    3", header = true)  df$unique <- 1 - duplicated(df$string) #    string found count unique #1 0-025823     0     1      1 #2 1-042055     1     1      1 #3 1-018396     1     2      1 #4 1-018396     1     2      0 #5 1-002984     1     3      1 #6 1-002984     1     3      0 #7 1-002984     1     3      0

duplicated returns logical values , use true/false coerced 1/0 when used in arithmetic.

note should not coerce integers. !duplicated(df$string) instead.


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