Created
November 27, 2023 19:32
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A two sample t test fucntion to output p-value from inputs of means and standard error
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t.test_SEM <- function(mean1, mean2, SE1, SE2, n1, n2) { | |
# Calculate t-statistic | |
t_statistic <- (mean1 - mean2) / sqrt(SE1^2 + SE2^2) | |
# Calculate degrees of freedom | |
df <- ((SE1^2 + SE2^2)^2) / (((SE1^2)^2 / (n1 - 1)) + ((SE2^2)^2 / (n2 - 1))) | |
# Calculate p-value | |
p_value <- 2 * pt(abs(t_statistic), df = df, lower.tail = FALSE) | |
return(p_value) | |
} | |
# Example usage: | |
mean1 <- 5 #means | |
mean2 <- 7 | |
SE1 <- 0.1 # standard errors | |
SE2 <- 0.15 | |
n1 <- 10 # number of samples | |
n2 <- 12 | |
p_value <- t.test_SEM(mean1, mean2, SE1, SE2, n1, n2) | |
print(p_value) |
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