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Dplyr - average for multiple columns

I want to calculate the average of several columns by creating a new column using dplyr and not melting + merging.

> head(growth2)
  CODE_COUNTRY CODE_PLOT IV12_ha_yr IV23_ha_yr IV34_ha_yr IV14_ha_yr IV24_ha_yr IV13_ha_yr
1            1         6       4.10       6.97         NA         NA         NA       4.58
2            1        17       9.88       8.75         NA         NA         NA       8.25
3            1        30         NA         NA         NA         NA         NA         NA
4            1        37      15.43      15.07      11.89      10.00      12.09      14.33
5            1        41      20.21      15.01      14.72      11.31      13.27      17.09
6            1        46      12.64      14.36      13.65       9.07      12.47      12.36
>

I need a new column in a dataset with an average of all IV columns. I tried this:

growth2 %>% 
  group_by(CODE_COUNTRY, CODE_PLOT) %>%
  summarise(IVmean=mean(IV12_ha_yr:IV13_ha_yr, na.rm=TRUE))

And returned several errors depending on the example used, for example:

Error in NA_real_:NA_real_ : NA/NaN argument

or

Error in if (trim > 0 && n) { : missing value where TRUE/FALSE needed
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3 answers

You do not need to group, simply select()and thenmutate()

library(dplyr)
mutate(df, IVMean = rowMeans(select(df, starts_with("IV")), na.rm = TRUE))
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you can use the following:

your data

data<- structure(list(CODE_COUNTRY = c(1L, 1L, 1L, 1L, 1L, 1L), CODE_PLOT = c(6L, 
17L, 30L, 37L, 41L, 46L), IV12_ha_yr = c(4.1, 9.88, NA, 15.43, 
20.21, 12.64), IV23_ha_yr = c(6.97, 8.75, NA, 15.07, 15.01, 14.36
), IV34_ha_yr = c(NA, NA, NA, 11.89, 14.72, 13.65), IV14_ha_yr = c(NA, 
NA, NA, 10, 11.31, 9.07), IV24_ha_yr = c(NA, NA, NA, 12.09, 13.27, 
12.47), IV13_ha_yr = c(4.58, 8.25, NA, 14.33, 17.09, 12.36)), .Names = c("CODE_COUNTRY", 
"CODE_PLOT", "IV12_ha_yr", "IV23_ha_yr", "IV34_ha_yr", "IV14_ha_yr", 
"IV24_ha_yr", "IV13_ha_yr"), class = "data.frame", row.names = c("1", 
"2", "3", "4", "5", "6"))

mydata <- cbind(data,IVMean=apply(data[,3:8],1,mean, na.rm=TRUE))

you can also do it

 mydata <- cbind(data,IVMean=rowMeans(data[3:8], na.rm=TRUE))
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Use .in dplyr.

library(dplyr)
mutate(df, IVMean = rowMeans(select(., starts_with("IV")), na.rm = TRUE))
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