Calculate Anomaly in Temperature

General
4

I think it would be helpful to see the data your working with in a reprex.

list in R of length 5 (each element represents a different city): inside each element there are 31 temperatures.

If you data is small enough (and pls make it smaller if you're dealing with a large dataset), you can do this with the dput function, for example,

ex_list <- list(
  city_a = data.frame(
    date = 1:3,
    temp = c(4,12,4)
  ),
  city_b = data.frame(
    date = 1:3,
    temp = c(5,7,2)
  )
)

dput(ex_list)
#> list(city_a = structure(list(date = 1:3, temp = c(4, 12, 4)), class = "data.frame", row.names = c(NA, 
#> -3L)), city_b = structure(list(date = 1:3, temp = c(5, 7, 2)), class = "data.frame", row.names = c(NA, 
#> -3L)))

Created on 2018-09-17 by the reprex package (v0.2.0.9000).

Note that the final list of code there replicate ex_list,

ex_list <- list(city_a = structure(list(date = 1:3, temp = c(4, 12, 4)), class = "data.frame", row.names = c(NA, 
-3L)), city_b = structure(list(date = 1:3, temp = c(5, 7, 2)), class = "data.frame", row.names = c(NA, 
-3L)))

And here's a handy guide to making a reprex (FAQ: What's a reproducible example (`reprex`) and how do I create one?)

1 Like