Method Indexing using logical vectors
Data frame rows can also be subjected to a logical expression, where in the row indexes evaluating to true of the logical expression will be returned in the resulting output.
R
# creating a data frame data_frame = data.frame(col1 = c(1:8), col2 = letters[1:8], col3 = c(0,1,1,1,0,0,0,0)) # assigning row names rownames(data_frame) <- c("r1","r2","r3","r4","r5","r6") print("Data Frame") print(data_frame) # accessing rows of data frame # using a logical condition log_vec = data_frame$col3 == 0 print("Dataframe where col3 values are equivalent to 0") print(data_frame[log_vec,]) |
Output
[1] "Data Frame" col1 col2 col3 1 1 a 0 2 2 b 1 3 3 c 1 4 4 d 1 5 5 e 0 6 6 f 0 7 7 g 0 8 8 h 0 [1] "Dataframe where row 1 values are %2 " col1 col2 col3 1 1 a 0 5 5 e 0 6 6 f 0 7 7 g 0 8 8 h 0
DataFrame Row Slice in R
In this article, we are going to see how to Slice row in Dataframe using R Programming Language.
Row slicing in R is a way to access the data frame rows and further use them for operations or methods. The rows can be accessed in any possible order and stored in other vectors or matrices as well. Row slicing is an important operation which is easily supported by R programming language.
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