一个简单的递归解决方案。时间效率应该与迭代(for循环)相同。好处是没有副作用(整数ks 的分配是本地化的),因此我们可以将其整个计算视为功能抽象并将其提供给我们正在处理的更大程序的其他部分。这将有助于将代码模块化。
# multi-replace for character vector input with length greater than 1
multi_replace_v <- function(v, r, ks) {
ks <- as.integer(ks)
if (length(ks) == 0) {
v
} else if (length(ks) == 1) {
if (ks[[1]] > length(v) | ks[[1]] < 1) {
stop("Invalid parameter: ks=", as.character(ks[[1]]), ". Valid range: 1-", as.character(length(v)))
} else if (ks[[1]] == 1) {
c(r, v[-1])
} else if (ks[[1]] == length(v)) {
c(v[-length(v)], r)
} else {
c(v[1:(ks[[1]]-1)], r, v[(ks[[1]]+1):length(v)])
}
} else {
multi_replace_v(multi_replace_v(v, r, ks[[1]]), r, ks[-1])
}
}
# multi-replace for input of single string character vector
multi_replace_s <- function(s, r, ks) paste0(multi_replace_v(unlist(strsplit(s, '')), r, ks), collapse = '')
# multi-replace for both single string and long vector input
multi_replace <- function(v_or_s, r, ks) {
if (length(v_or_s) == 1) {
multi_replace_s(v_or_s, r, ks)
} else if (length(v_or_s) > 1) {
multi_replace_v(v_or_s, r, ks)
} else {
NULL
}
}
# Example
> multi_replace('abcdefghij', "*", c(1,4,6,9))
[1] "*bc*e*gh*j"