clean_byname {matsbyname}

Clean (delete) rows or columns of matrices that contain exclusively clean_value

Description

Cleaning is performed when all entries in a row or column or both, depending on the value of margin, are within ⁠+/- tol⁠ of clean_value. Internally, values are deemed within +/- of tol when abs(x - clean_value) <= tol.

Usage

clean_byname(a, margin = c(1, 2), clean_value = 0, tol = 0)

Arguments

a

The matrix to be cleaned.

margin

The dimension over which cleaning should occur, 1 for rows, 2 for columns, or c(1, 2) for both rows and columns. Default is c(1, 2).

clean_value

The undesirable value. Default is 0.

tol

The tolerance with which any value is deemed equal to clean_value. Default is 0.

Details

If there is concern about machine precision, you might want to call this function with tol = .Machine$double.eps.

When a row (when margin = 1) or a column (when margin = 2) contains exclusively clean_value (within tol), the row or column is deleted from the matrix.

Value

A "cleaned" matrix, expunged of rows or columns that contain exclusively clean_value.

Examples

m <- matrix(c(-20, 1, -20, 2), nrow = 2, dimnames = list(c("r1", "r2"), c("c1", "c2")))
m
m %>% clean_byname(margin = 1, clean_value = -20) # Eliminates -20, -20 row
# Nothing cleaned, because no columns contain all 0's (the default clean_value).
m %>% clean_byname(margin = 2) 
# Also works with lists
list(m, m) %>% clean_byname(margin = 1, clean_value = -20)
# Also works with data frames
DF <- data.frame(m = I(list()))
DF[[1,"m"]] <- m
DF[[2,"m"]] <- m
DF %>% clean_byname(margin = 1, clean_value = -20)
m2 <- matrix(c(-20, -20, 0, -20, -20, 0, -20, -20, -20), nrow = 3,
             dimnames = list(c("r1", "r2", "r3"), c("c1", "c2", "c3")) )
m2
clean_byname(m2, margin = c(1,2), clean_value = -20)
DF2 <- data.frame(m2 = I(list()))
DF2[[1, "m2"]] <- m2
DF2[[2, "m2"]] <- m2
DF2 %>% clean_byname(margin = c(1, 2), clean_value = -20)