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Public EcoRouter Knowledge · AI-generated content · September 28, 2026

How do I calculate the mean, median, and standard deviation of a variable in R?

The question

How do I calculate the mean, median, and standard deviation of a variable in R?

Balanced

In R, you can use the built-in functions mean(), median(), and sd().

Here is a quick example:

r
# Create a sample vector
data <- c(10, 15, 20, 25, 30)

# Calculate statistics
mean_val   <- mean(data)
median_val <- median(data)
sd_val     <- sd(data)

# Print the results
mean_val    # Returns 20
median_val  # Returns 20
sd_val      # Returns 7.905694

Working with a Data Frame

If your variable is a column inside a data frame:

r
mean(df$variable_name)
median(df$variable_name)
sd(df$variable_name)

Handling Missing Values (NA)

If your data contains missing values, these functions will return NA by default. Add na.rm = TRUE to ignore them:

r
data_with_na <- c(10, 15, NA, 25, 30)

mean(data_with_na, na.rm = TRUE)
median(data_with_na, na.rm = TRUE)
sd(data_with_na, na.rm = TRUE)

Tip: You can also use summary(data) to get the mean, median, quartiles, and count of NAs all at once.

Answering this used an estimated 75% less than EcoRouter’s configured frontier baseline

Routed to
Balanced
Tokens
211 in / 561 out
Cost
$0.0023
Baseline
$0.0090

Figures recorded by EcoRouter when this answer was generated, and fixed at that moment. Cost comparisons are against a configured reference model, not a measurement of electricity, carbon or water.

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