r - deleting rows from main dataset -


i try keep simple. have dataset 50407 rows , 422 columns. within 50k rows search data points comes 346 rows , 422 columns. id 346 rows. added new column called mode , put in a. after have 346 rows , 423 column. add 347 rows 50407 new column mode. 

maindata <- data.frame(main_set) cutdata <- data.frame(cut_set) data_set <- rbind(maindata, cutdata) add_data <- unique(data_set)

when may guess because of new column there unique data not gets cut.

so i'm not sure try now. whatever can give.

example main column0|column1|column2|column3|mode      4 |  83   |   23  |   863 | b     53 |  26   |   9   |   153 | b     33 |  66   |   91  |   693 | b      6 |  87   |   27  |   863 | b     57 |  27   |   9   |   153 | b     37 |  67   |   97  |   693 | b  example cut column0|column1|column2|column3|mode      6 |  87   |   27  |   863 |     57 |  27   |   9   |   153 |     37 |  67   |   97  |   693 |  rbind column0|column1|column2|column3|mode      4 |  83   |   23  |   863 | b     53 |  26   |   9   |   153 | b     33 |  66   |   91  |   693 | b      6 |  87   |   27  |   863 | b     57 |  27   |   9   |   153 | b     37 |  67   |   97  |   693 | b      6 |  87   |   27  |   863 |     57 |  27   |   9   |   153 |     37 |  67   |   97  |   693 |

idea answer 

column0|column1|column2|column3|mode      4 |  83   |   23  |   863 | b     53 |  26   |   9   |   153 | b     33 |  66   |   91  |   693 | b      6 |  87   |   27  |   863 |     57 |  27   |   9   |   153 |     37 |  67   |   97  |   693 |

you use dplyr manipulate data. lets want mark cars in mtcars according number of cylinders , horsepower: 

require(dplyr) mtcars %>% group_by(cyl) %>% mutate(mode = ifelse(hp > 180,"a","b")) %>% data.frame()

this way cars grouped cylinder number , tagged "a" if horsepower greater 180 , "b" if hp lower 180.


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