nrow(dataframe)
MEAN sapply(dataframe, mean, na.rm=TRUE)
SD sapply(dataframe, sd, na.rm=TRUE)
MIN sapply(dataframe, min, na.rm=TRUE)
MAX sapply(dataframe, max, na.rm=TRUE)
sum(is.na(dataframe))
If the value is 0, there are no missing values.
library(tidyverse)
dataframe <- dataframe %>% filter(!(color == "red")
dataframe$var[is.na(dataframe$var)] <- 0
ranef(fit_model_name)
dataframe <- dataframe %>% filter(!is.na(column)
dataframe$var[dataframe$var > 100] <- NA
write.csv(dataframe, file = "yourfilename.csv")
dataframe$concatenatedvar = paste(dataframe$var1, dataframe$var2)
dataframe <- subset(dataframe, select = -c(var1, var2, var3))
library(tidyverse)
rename(dataframe, new_name = old_name)