Description Usage Arguments Value Examples
Several ways to return an index based on logical range comparison helpers
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 | e1 %?gele% e2
e1 %?gel% e2
e1 %?gle% e2
e1 %?gl% e2
e1 %?ge% e2
e1 %?g% e2
e1 %?le% e2
e1 %?l% e2
e1 %?in% e2
e1 %?!in% e2
e1 %?nin% e2
e1 %?==% e2
e1 %?!=% e2
e1 %?c% e2
e1 %?e% e2
|
e1 |
A number of vector to be evaluated and for which the indices will be returned |
e2 |
A vector of one or two numbers used to denote the limits for logical comparison. |
A vector of the indices identifying which values of e1
meet the logical conditions.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 | 1:5 %?gele% c(2, 4)
1:5 %?gele% c(4, 2) # order does not matter uses min / max
1:5 %?gel% c(2, 4)
1:5 %?gel% c(4, 2) # order does not matter uses min / max
1:5 %?gle% c(2, 4)
1:5 %?gle% c(4, 2) # order does not matter uses min / max
1:5 %?gl% c(2, 4)
1:5 %?gl% c(4, 2) # order does not matter uses min / max
1:5 %?ge% 2
1:5 %?ge% 4
1:5 %?g% 2
1:5 %?g% 4
1:5 %?le% 2
1:5 %?le% 4
1:5 %?l% 2
1:5 %?l% 4
1:5 %?in% c(2, 99)
c("jack", "jill", "john", "jane") %?in% c("jill", "jane", "bill")
1:5 %?!in% c(2, 99)
c("jack", "jill", "john", "jane") %?!in% c("jill", "jane", "bill")
1:5 %?nin% c(2, 99)
c("jack", "jill", "john", "jane") %snin% c("jill", "jane", "bill")
11:15 %?==% c(11, 1, 13, 15, 15)
11:15 %?!=% c(11, 1, 13, 15, 15)
## define a variable
sample_data <- c(1, 3, 9, 5, NA, -9)
## suppose that we expect that values should fall in [1, 10]
## unless they are special character, -9 used for unknown / refused
sample_data %?c% "( >= 1 & <= 10 ) | == -9"
## we might expect some missing values and be OK as long as
## above conditions are met or values are missing
sample_data %?c% "( >= 1 & <= 10 ) | == -9 | is.na"
## equally we might be expecting NO missing values
## and want missing values to come up as FALSE
sample_data %?c% "(( >= 1 & <= 10 ) | == -9) & !is.na"
## clean up
rm(sample_data)
## define a variable
sample_data <- c(1, 3, 9, 5, -9)
sample_data %?e% "(-8, 1] | [2, 9)"
## clean up
rm(sample_data)
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