Description Usage Arguments Value Author(s) Examples
Find row or column by name or index
Column by name or index
Row by name or number
Matrix cell index by name or number
Return all indices of a (range of) values
Is element of... with multiple input types
1 2 3 4 5 6 7 8 9 | c %ci% d
r %ri% d
rc %mi% d
nv %ai% d
x %e% y
|
c |
Column name or index |
d |
A named vector, list, matrix, or data frame |
r |
Row name or index |
rc |
A 2-element numeric or character vector representing |
nv |
A numeric value, or vector of values of which you want to know the indices in |
x |
A vector, data frame or list containing numbers and/or characters that could be elements of y |
y |
An object that could contain values in x |
If r/c/rc
is numeric, the name corresponding to the row/column index of d
, if r/c/rc
is a character vector, the row/column index corresponding to the row/column name. If dimnames(d) == NULL
, but names(d) != NULL
then %ci%
and %ri%
will look up r/c
in names(d)
Logical vector indicating which x are an element of y
Fred Hasselman
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 | # data frame
d <- data.frame(x=1:5,y=6,row.names=paste0("ri",5:1))
"y" %ci% d # y is the 2nd column of d
2 %ci% d # the name of the second column of d is "y"
2 %ri% d
"ri5" %ri% d
# change column name
colnames(d)["y" %ci% d] <- "Yhat"
# mi works on data frames, matrices, tiblles, etc.
c(5,2) %mi% d
list(r="ri1",c=2) %mi% d
# matrix row and column indices
m <- matrix(1:10,ncol=2, dimnames = list(paste0("ri",0:4),c("xx","yy")))
1 %ci% m
5 %ci% m # no column 5
1 %ri% m
5 %ri% m
c(5,1)%mi%m
c(1,5)%mi%m
# For list and vector objects ri and ci return the same values
l <- list(a=1:100,b=LETTERS)
2 %ci% l
"a" %ci% l
2 %ri% l
"a" %ri% l
# named vector
v <- c("first" = 1, "2nd" = 1000)
"2nd" %ci% v
1 %ci% v
"2nd" %ri% v
1 %ri% v
# get all indices of the number 1 in v
1 %ai% v
# get all indices of the number 3 and 6 in d
c(3,6) %ai% d
# get all indices of values: Z < -1.96 and Z > 1.96
Z <- rnorm(100)
Z[Z%)(%c(-1.96,1.96)] %ai% Z
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