How to Create a Dataset with Combined Stack Values and Fill Missing Values with Zeroes Using R.

Based on the provided code, it appears that you are trying to create a dataset with columns for each stack and fill missing values with 0’s.

Here is a step-by-step solution using R:

# Load required libraries
library(dplyr)

# Create a sample dataset
data <- data.frame(
  weekday = c("Fri", "Fri", "Fri", "Fri", "Fri"),
  season = c("winter", "spring", "spring", "spring", "summer"),
  hour = c(3, 3, 3, 3, 3),
  Stack.1 = rbinom(n = 5, size = 1, prob = 0.5), # Randomly generated binary values for Stack.1
  Stack.2 = rbinom(n = 5, size = 1, prob = 0.5)   # Randomly generated binary values for Stack.2
)

# Create a new column 'Stack' by combining Stack.1 and Stack.2
data$Stack <- ifelse(data$Stack.1 == 1, "Stack.1", "Stack.2")

# Convert the hour to a character string (e.g., "03")
data$hour <- paste0("0", format(c(hour), width = 2))

# Group by weekday and season, then sum up Stack
stack_data <- data %>%
  group_by(weekday, season) %>%
  summarise(Stack = n())

This code will create a dataset with the following columns:

weekday: a character column representing the day of the week
season: a factor column indicating the time of year (winter, spring, or summer)
hour: a character column representing the hour of the day (e.g., “03”)
Stack: a character column indicating whether Stack.1 or Stack.2 is present ("Stack.1" or "Stack.2")

The resulting dataset will have the same number of rows as the original data but with a single value for each stack in each combination of weekday and season.

If you want to fill missing values with 0’s, you can use the following code:

# Create a new column 'Stack' by combining Stack.1 and Stack.2
data$Stack <- ifelse(data$Stack.1 == 1 & data.season == "winter", "Stack.1",
                      ifelse(data.Stack.1 == 1 & data.season == "spring", "Stack.1",
                              ifelse(data.Stack.1 == 1 & data.season == "summer", "Stack.1",
                                      ifelse(data(Stack.2 == 1 & data.season == "winter", "Stack.2",
                                               ifelse(data.Stack.2 == 1 & data.season == "spring", "Stack.2",
                                                       ifelse(data.Stack.2 == 1 & data.season == "summer", "Stack.2",
                                                               0))))))

# Group by weekday and season, then sum up Stack
stack_data <- data %>%
  group_by(weekday, season) %>%
  summarise(Stack = n())

This code will create a new column Stack by combining the values of Stack.1 and Stack.2 based on the value of the season. If no stack is present in a given combination of weekday and season, it will be filled with 0’s.

Last modified on 2024-08-02