summary(s_complete$num_SNB) aggregate(num_SNB ~ Condition_SNB, data = s_complete, FUN = summary) sd(s_complete$num_SNB) count <- table(s_complete$num_SNB) please combine these computations in one code.

library(dplyr)

s_complete %>%
  group_by(Condition_SNB) %>% 
  summarise(mean = mean(num_SNB), sd = sd(num_SNB), count = length(num_SNB), "max_value" = max(num_SNB), "min_value" = min(num_SNB))

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