# Groupby mean in R

Groupby mean in R can be accomplished by aggregate() or group_by() function. let’s  see how to

• Groupby mean of single column in R
• Groupby mean of multiple columns in R

First let’s create a dataframe

```df1= data.frame(Name=c('James','Paul','Richards','Marico','Samantha','Ravi','Raghu','Richards','George','Ema','Samantha','Catherine'),
Sales=c(14,24,31,12,13,7,9,31,18,16,18,14))
df1
```

df1 will be #### Method 1:

Aggregate function along with parameter by – by which it is to be grouped and function mean is mentioned as shown below

```# Groupby mean of single column

aggregate(df1\$Sales, by=list(df1\$State), FUN=mean)
```

so the grouped dataframe will be #### Method 2: groupby using dplyr

```library(dplyr)
df1 %>% group_by(State) %>% summarise(Mean_sales = mean(Sales))
```

so the grouped dataframe will be #### Method 1:

Aggregate function which is grouped by state and name, along with function mean is mentioned as shown below

```# Groupby mean of multiple columns

aggregate(df1\$Sales, by=list(df1\$State,df1\$Name), FUN=mean)
```

so the grouped dataframe will be #### Method 2: groupby using dplyr

```library(dplyr)
df1 %>% group_by(State,Name) %>% summarise(Mean_sales = mean(Sales))
```

so the grouped dataframe will be 