Here we are explaining how to write an R program to replace NA values with 5 in a given data frame. Here we are using a built-in function data.frame() for this. A data frame is used for storing data tables which has a list of vectors with equal length. The data frames are created by function data.frame(), which has tightly coupled collections of variables. The syntax of this function is,
data.frame(…, row.names = NULL, check.rows = FALSE,check.names = TRUE, fix.empty.names = TRUE,stringsAsFactors = default.stringsAsFactors())
Where dots(...) indicates the arguments are of either the form value or tag = value and row. name is a NULL or a single integer or character string.
Below are the steps used in the R program to replace NA values with 5 in a given data frame. In this R program, we directly give the data frame to a built-in function. Here we are using variables E, N, S, A, Q for holding different types of vectors. Call the function data.frame() for creating dataframe. Finally, replace NA values with 5 from a given data frame by calling like E[is.na(E)] = 5
STEP 1: Assign variables E,N,S,A,Q with vector values
STEP 2: First print original data frame
STEP 3: Replace NA values with 5 from a given data frame as E[is.na(E)] = 5
STEP 5: print the final data frame
E = data.frame(
N = c('Jhon', 'Hialy', 'Albert', 'James', 'Delma'),
S = c(10, 9.5, 12.2, 11, 8),
A = c(2, NA, 2, NA, 1),
Q = c('yes', 'no', 'yes', 'no', 'no')
)
print("Original dataframe:")
print(E)
E[is.na(E)] = 5
print("After removing NA with 5, the dataframe is:")
print(E)
[1] "Original dataframe:"
name score attempts qualify
1 Jhon 10 2 yes
2 Hialy 9.5 NA no
3 Albert 12.2 2 yes
4 James 11 NA no
5 Delma 8 1 no
[1] "After removing NA with 5, the dataframe is:"
name score attempts qualify
1 Jhon 10 2 yes
2 Hialy 9.5 5 no
3 Albert 12.2 2 yes
4 James 11 5 no
5 Delma 8 1 no
