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,
– 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
df = 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:")
## [1] "Original dataframe:"
print(df)
## N S A Q
## 1 Jhon 10.0 2 yes
## 2 Hialy 9.5 NA no
## 3 Albert 12.2 2 yes
## 4 James 11.0 NA no
## 5 Delma 8.0 1 no
df[is.na(df)] = 5
print("After removing NA with 5, the dataframe is:")
## [1] "After removing NA with 5, the dataframe is:"
print(df)
## N S A Q
## 1 Jhon 10.0 2 yes
## 2 Hialy 9.5 5 no
## 3 Albert 12.2 2 yes
## 4 James 11.0 5 no
## 5 Delma 8.0 1 no