filter and remove rows in dataframe

[Bedo]

Hello.
I have dataframe(data) with many columns and rows. Some rows contain cells with specific text(text is "FALSE").How can i filter rows with this text and then remove these rows.

[kuttan98]

It would be better if you can give a sample data.
When you filter a variable and make a new data frame, automatically the observations you have given will be removed. Here is a sample I have made below.

library(tidyverse)
library(janitor)


data<-tibble::tribble(
  ~variable,
       TRUE,
       TRUE,
       TRUE,
       TRUE,
       TRUE,
       TRUE,
      FALSE,
      FALSE,
      FALSE,
      FALSE,
      FALSE,
      FALSE
  )

data_mod<-data %>% 
  filter(variable=="TRUE")

Hope this helps,
NP

[Bedo]

Thanks for your replay.

My data is like this: 

   A    B     C           D 
1. 0     4    4           false 
2. 5     4    4           0 
3. 5     4    false       4 
4. 5     0    4           4 
5. 0     4    4           4 
6. 5     4    4           4 
7. 0     4    4           false 

i want to find all rows that contain "false" or "0", remove this rows from existing data and make another dataframe with these removed rows.

[kuttan98]

For the sample, the following code, the below code will work. If you have a lot of variables will have to try across function.

library(tidyverse)
library(janitor)

data<-tibble::tribble(
  ~A, ~B,      ~C,      ~D,
  0L, 4L,     "4", "FALSE",
  5L, 4L,     "4",     "0",
  5L, 4L, "FALSE",     "4",
  5L, 0L,     "4",     "4",
  0L, 4L,     "4",     "4",
  5L, 4L,     "4",     "4",
  0L, 4L,     "4", "FALSE"
  )

data_mod<-data %>% 
  filter(!C=="FALSE") %>%   
  filter(!(D=="FALSE" | D=="0"))