Sort one column based on another column

[tacampbell]

I'm a new rstudio user, and hoping for some guidance. I have imported data into r, and am trying to sort one column (crop yield) based on a 2nd column (precipitation). Specifically, I'm trying to take the average crop yield of the 5 wettest years.

My current code is as follows:

Data = read.table("crop.output.dat-ARL-0N-SCEN1")
colnames(Data) <- c("Year","PFT","Yield (bu/ac)","Fertilizer+Manure N (kg/ha)","N-Minearalization(kg/ha)","	Crop N uptake (kg/ha)","NO3-N leaching (kg/ha)",	"NO3-N leaching (ppm)",	"Harvest Index",	"Leaf N concentration",	"Stem N concentration",	"Root N concentration",	"Grain N concentration",	"Grain N (kg/ha)",	"Drainage (mm/yr)","Precip (mm/yr)",	"Irrigation(mm/yr)",	"LAI max",	"N fixation (kg/ha)",	"SOC kg/m2",	"Planting DOY",	"Harvest DOY")
Data[
  with (Data, order(Data$`Precip (mm/yr)`)),
]

[andresrcs]

Hi Tracy, welcome!

You can sort a dataframe by any column or combination of columns with the arrange() function from dplyr, see this example:

library(dplyr)

iris %>%
    arrange(Sepal.Width) %>% 
    head()
#>   Sepal.Length Sepal.Width Petal.Length Petal.Width    Species
#> 1          5.0         2.0          3.5         1.0 versicolor
#> 2          6.0         2.2          4.0         1.0 versicolor
#> 3          6.2         2.2          4.5         1.5 versicolor
#> 4          6.0         2.2          5.0         1.5  virginica
#> 5          4.5         2.3          1.3         0.3     setosa
#> 6          5.5         2.3          4.0         1.3 versicolor

If you need more specific help, please provide a minimal REPRoducible EXample (reprex) illustrating your issue. A reprex makes it much easier for others to understand your issue and figure out how to help.

If you've never heard of a reprex before, you might want to start by reading this FAQ:

FAQ: How to do a minimal reproducible example ( reprex ) for beginners

A minimal reproducible example consists of the following items: A minimal dataset, necessary to reproduce the issue The minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and including the necessary information on the used packages. Let's quickly go over each one of these with examples: Minimal Dataset (Sample Data) You need to provide a data frame that is small enough to be (reasonably) pasted on a post, but big enough to reproduce your issue. Let's say, as an example, that you are working with the iris data frame head(iris) #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.…

[Yarnabrina]

You can try this:

with(Data, mean(`Yield (bu/ac)`[order(-`Precip (mm/yr)`)]))