This is my code but I am getting an error that says,
Error in data.frame(State = c("Alabama", "California", "Texas", "Florida", :
arguments imply differing number of rows: 50, 51
I do not know how to fix this error
Define the population density data as a data frame (from the provided table)
pop_density_data <- data.frame(
State = c("Alabama", "California", "Texas", "Florida", "New York", "Ohio", "Wisconsin", "Idaho",
"Georgia", "Connecticut", "Pennsylvania", "Colorado", "North Carolina", "Utah", "Massachusetts",
"Arizona", "Louisiana", "Illinois", "Minnesota", "Kansas", "Hawaii", "Indiana", "Michigan",
"Alaska", "Virginia", "New Jersey", "Kentucky", "Arkansas", "Iowa", "Vermont", "Tennessee",
"Nebraska", "Maryland", "Montana", "Mississippi", "Maine", "South Carolina", "Wyoming",
"Oklahoma", "Missouri", "Nevada", "Delaware", "Oregon", "Washington", "Rhode Island",
"West Virginia", "North Dakota", "New Hampshire", "South Dakota", "New Mexico"),
Pop_Density_2010 = c(94.4, 239.1, 96.3, 350.6, 411.2, 282.3, 105, 19, 168.4, 738.1, 283.9, 48.5, 196.1,
33.6, 839.4, 56.3, 104.9, 231.1, 66.6, 34.9, 211.8, 181, 174.8, 1.2, 202.6, 1195.5,
109.9, 56, 54.5, 67.9, 153.9, 23.8, 594.8, 6.8, 63.2, 43.1, 153.9, 5.8, 54.7, 87.1,
24.6, 460.8, 39.9, 101.2, 1018.1, 77.1, 9.7, 147, 10.7, 17),
Pop_Density_2020 = c(99.2, 253.7, 111.6, 401.4, 428.7, 288.8, 108.8, 22.3, 185.6, 744.7, 290.6, 55.7, 214.7,
39.7, 901.2, 62.9, 107.8, 230.8, 71.7, 35.9, 226.6, 189.4, 178, 1.3, 218.6, 1263, 114.1,
57.9, 57.1, 57.1, 69.8, 167.6, 25.5, 636.1, 7.4, 63.1, 44.2, 170.2, 5.9, 57.7, 89.5,
28.3, 508, 44.1, 115.9, 1061.4, 74.6, 11.3, 153.8, 11.7, 17.5)
)
Define the years for interpolation
years <- 2010:2023
Check the total number of rows needed (50 states × 14 years = 700 rows)
num_years <- length(years)
num_states <- nrow(pop_density_data)
Create an empty data frame to store interpolated values (ensure correct repetition)
pop_density_df <- data.frame(
State = rep(pop_density_data$State, each = num_years), # Repeat each state 14 times
Year = rep(years, times = num_states) # Repeat years for each state
)
Perform interpolation with extrapolation for each state
interpolated_values_list <- lapply(1:num_states, function(i) {
approx(
x = c(2010, 2020),
y = c(pop_density_data$Pop_Density_2010[i], pop_density_data$Pop_Density_2020[i]),
xout = years,
rule = 2 # Set rule = 2 for extrapolation
)$y
})
Combine interpolated values into the data frame
pop_density_df$Pop_Density <- unlist(interpolated_values_list)
View the final interpolated data frame
print(pop_density_df)