Leo - 1 month ago 5x

R Question

Question:

**I have the following data frame** that I want to simplify

`Fruit <- c("Apple","Apple","Orange","Orange","Banana","Banana")`

Farmer <- c("Bob","Ben","Bill","Bob","George","Bob")

Tons.Jan <- c(20,40,10,20,35,15)

Tons.Feb <- c(30,40,20,15,25,30)

Tons.Mar <- c(10,10,15,10,20,30)

Tons.Apr <- c(15,20,15,30,30,30)

Tons.May <- c(20,5,20,20,20,10)

df <- cbind(Fruit,Farmer)

df <- cbind(df,Tons.Jan)

df <- cbind(df,Tons.Feb)

df <- cbind(df,Tons.Mar)

df <- cbind(df,Tons.Apr)

df <- tbl_df(cbind(df,Tons.May))

I want to be able to summarise the Farmers to a single comma delimited strong and sum the Tons to the observations so that it looks like the following

`Fruit2 <- c("Apple","Orange","Banana")`

Farmer2 <- c("Bob,Ben","Bill,Bob","George,Bob")

Tons.Jan2 <- c(60,30,50)

Tons.Feb2 <- c(70,35,55)

Tons.Mar2 <- c(20,25,50)

Tons.Apr2 <- c(35,45,60)

Tons.May2 <- c(25,40,30)

df2 <- cbind(Fruit2,Farmer2)

df2 <- cbind(df2,Tons.Jan2)

df2 <- cbind(df2,Tons.Feb2)

df2 <- cbind(df2,Tons.Mar2)

df2 <- cbind(df2,Tons.Apr2)

df2 <- tbl_df(cbind(df2,Tons.May2))

I have tried using dplyr function group_by and summarise_each below

`df <- df %>% group_by(Fruit) %>%`

summarise_each_(funs(toString))

However I am not sure how to integrate summing the numeric values without specifically calling out each column using the summarise function,

Any Help is appreciated.

Answer

```
library(dplyr)
# Convert the relevant columns to numeric
df <- mutate_each(df, funs(as.numeric), -Fruit, -Farmer)
# or as mentioned in the comments by jazzurro
df <- mutate_at(df, vars(starts_with("Tons")), as.numeric)
df %>%
group_by(Fruit) %>%
mutate(Farmer = toString(Farmer)) %>%
group_by(Fruit, Farmer) %>%
summarise_all(funs(sum))
#Source: local data frame [3 x 7]
#Groups: Fruit [?]
#
# Fruit Farmer Tons.Jan Tons.Feb Tons.Mar Tons.Apr Tons.May
# <chr> <chr> <dbl> <dbl> <dbl> <dbl> <dbl>
#1 Apple Bob, Ben 60 70 20 35 25
#2 Banana George, Bob 50 55 50 60 30
#3 Orange Bill, Bob 30 35 25 45 40
```

Source (Stackoverflow)

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