# R/MINIFS.R In ExcelFunctionsR: Imports Excel Functions to R

#### Documented in MINIFS

```# MINIFS Function from Excel
#' Basic MINIFS function from excel
#'
#' It acts similiarly to Excel's MINIFS function. It returns the minimum value from an array after testing for several criterias.
#'
#' @param min_range From which range should it return the minimum from?
#' @param criteria_range1,criteria_range2,criteria_range3,criteria_range4,criteria_range5,criteria_range6,criteria_range7,criteria_range8,criteria_range9,criteria_range10 Which range should the criteria tested for.Only criteria_range1 is mandatory,others are optional.
#' @param criteria1,criteria2,criteria3,criteria4,criteria5,criteria6,criteria7,criteria8,criteria9,criteria10  What criteria should the range be checked against. Only criteria1 is mandatory, others are optional.
#' @import base
#' @import stringr
#' @export
#' @examples
#' MINIFS(iris\$Petal.Length,iris\$Species,"setosa",iris\$Petal.Width,0.2)
#' @return This example returns minimum value of Petal Length of species setosa who have petal width 0.2. Function will always return numeric class.

MINIFS <-
function(min_range,criteria_range1 , criteria1, criteria_range2 = TRUE ,criteria2 = TRUE,
criteria_range3 = TRUE ,criteria3 = TRUE ,criteria_range4 = TRUE ,criteria4 = TRUE,criteria_range5 = TRUE ,criteria5 = TRUE ,criteria_range6 = TRUE ,criteria6 = TRUE ,criteria_range7 = TRUE ,
criteria7 = TRUE ,criteria_range8 = TRUE ,criteria8 = TRUE ,criteria_range9 = TRUE ,criteria9 = TRUE ,criteria_range10 = TRUE ,criteria10 = TRUE ){

if(is.na(as.numeric(criteria1)) == FALSE){
c1 <- "=="
} else if (str_detect(criteria1,"^>") == TRUE){
c1 <- ">"
criteria1 <- extract_numeric(criteria1)
}  else if (str_detect(criteria1,"^<") == TRUE){
c1 <- "<"
criteria1 <- extract_numeric(criteria1)
} else if (str_detect(criteria1,"^>=")){
c1 <- ">="
criteria1 <- extract_numeric(criteria1)
} else if (str_detect(criteria1,"^<=")){
c1 <- "<="
criteria1 <- extract_numeric(criteria1)
} else if (is.character(criteria1) == TRUE){
c1 <- "=="
}

if(is.na(as.numeric(criteria2)) == FALSE){
c2 <- "=="
} else if (str_detect(criteria2,"^>") == TRUE){
c2 <- ">"
criteria2 <- extract_numeric(criteria2)
}  else if (str_detect(criteria2,"^<") == TRUE){
c2 <- "<"
criteria2 <- extract_numeric(criteria2)
} else if (str_detect(criteria2,"^>=")){
c2 <- ">="
criteria2 <- extract_numeric(criteria2)
} else if (str_detect(criteria2,"^<=")){
c2 <- "<="
criteria2 <- extract_numeric(criteria2)
} else if (is.character(criteria2) == TRUE){
c2 <- "=="
}

if(is.na(as.numeric(criteria3)) == FALSE){
c3 <- "=="
} else if (str_detect(criteria3,"^>") == TRUE){
c3 <- ">"
criteria3 <- extract_numeric(criteria3)
}  else if (str_detect(criteria3,"^<") == TRUE){
c3 <- "<"
criteria3 <- extract_numeric(criteria3)
} else if (str_detect(criteria3,"^>=")){
c3 <- ">="
criteria3 <- extract_numeric(criteria3)
} else if (str_detect(criteria3,"^<=")){
c3 <- "<="
criteria3 <- extract_numeric(criteria3)
} else if (is.character(criteria3) == TRUE){
c3 <- "=="
}

if(is.na(as.numeric(criteria4)) == FALSE){
c4 <- "=="
} else if (str_detect(criteria4,"^>") == TRUE){
c4 <- ">"
criteria4 <- extract_numeric(criteria4)
}  else if (str_detect(criteria4,"^<") == TRUE){
c4 <- "<"
criteria4 <- extract_numeric(criteria4)
} else if (str_detect(criteria4,"^>=")){
c4 <- ">="
criteria4 <- extract_numeric(criteria4)
} else if (str_detect(criteria4,"^<=")){
c4 <- "<="
criteria4 <- extract_numeric(criteria4)
} else if (is.character(criteria4) == TRUE){
c4 <- "=="
}

if(is.na(as.numeric(criteria5)) == FALSE){
c5 <- "=="
} else if (str_detect(criteria5,"^>") == TRUE){
c5 <- ">"
criteria5 <- extract_numeric(criteria5)
}  else if (str_detect(criteria5,"^<") == TRUE){
c5 <- "<"
criteria5 <- extract_numeric(criteria5)
} else if (str_detect(criteria5,"^>=")){
c5 <- ">="
criteria5 <- extract_numeric(criteria5)
} else if (str_detect(criteria5,"^<=")){
c5 <- "<="
criteria5 <- extract_numeric(criteria5)
} else if (is.character(criteria5) == TRUE){
c5 <- "=="
}

if(is.na(as.numeric(criteria6)) == FALSE){
c6 <- "=="
} else if (str_detect(criteria6,"^>") == TRUE){
c6 <- ">"
criteria6 <- extract_numeric(criteria6)
}  else if (str_detect(criteria6,"^<") == TRUE){
c6 <- "<"
criteria6 <- extract_numeric(criteria6)
} else if (str_detect(criteria6,"^>=")){
c6 <- ">="
criteria6 <- extract_numeric(criteria6)
} else if (str_detect(criteria6,"^<=")){
c6 <- "<="
criteria6 <- extract_numeric(criteria6)
} else if (is.character(criteria6) == TRUE){
c6 <- "=="
}

if(is.na(as.numeric(criteria7)) == FALSE){
c7 <- "=="
} else if (str_detect(criteria7,"^>") == TRUE){
c7 <- ">"
criteria7 <- extract_numeric(criteria7)
}  else if (str_detect(criteria7,"^<") == TRUE){
c7 <- "<"
criteria7 <- extract_numeric(criteria7)
} else if (str_detect(criteria7,"^>=")){
c7 <- ">="
criteria7 <- extract_numeric(criteria7)
} else if (str_detect(criteria7,"^<=")){
c7 <- "<="
criteria7 <- extract_numeric(criteria7)
} else if (is.character(criteria7) == TRUE){
c7 <- "=="
}

if(is.na(as.numeric(criteria8)) == FALSE){
c8 <- "=="
} else if (str_detect(criteria8,"^>") == TRUE){
c8 <- ">"
criteria8 <- extract_numeric(criteria8)
}  else if (str_detect(criteria8,"^<") == TRUE){
c8 <- "<"
criteria8 <- extract_numeric(criteria8)
} else if (str_detect(criteria8,"^>=")){
c8 <- ">="
criteria8 <- extract_numeric(criteria8)
} else if (str_detect(criteria8,"^<=")){
c8 <- "<="
criteria8 <- extract_numeric(criteria8)
} else if (is.character(criteria8) == TRUE){
c8 <- "=="
}

if(is.na(as.numeric(criteria9)) == FALSE){
c9 <- "=="
} else if (str_detect(criteria9,"^>") == TRUE){
c9 <- ">"
criteria9 <- extract_numeric(criteria9)
}  else if (str_detect(criteria9,"^<") == TRUE){
c9 <- "<"
criteria9 <- extract_numeric(criteria9)
} else if (str_detect(criteria9,"^>=")){
c9 <- ">="
criteria9 <- extract_numeric(criteria9)
} else if (str_detect(criteria9,"^<=")){
c9 <- "<="
criteria9 <- extract_numeric(criteria9)
} else if (is.character(criteria9) == TRUE){
c9 <- "=="
}

if(is.na(as.numeric(criteria10)) == FALSE){
c10 <- "=="
} else if (str_detect(criteria10,"^>") == TRUE){
c10 <- ">"
criteria10 <- extract_numeric(criteria10)
}  else if (str_detect(criteria10,"^<") == TRUE){
c10 <- "<"
criteria10 <- extract_numeric(criteria10)
} else if (str_detect(criteria10,"^>=")){
c10 <- ">="
criteria10 <- extract_numeric(criteria10)
} else if (str_detect(criteria10,"^<=")){
c10 <- "<="
criteria10 <- extract_numeric(criteria10)
} else if (is.character(criteria10) == TRUE){
c10 <- "=="
}

ret <- min(min_range[c(get(c1)(criteria_range1,criteria1))&
c(get(c2)(criteria_range2,criteria2))&
c(get(c3)(criteria_range3,criteria3))&
c(get(c4)(criteria_range4,criteria4))&
c(get(c5)(criteria_range5,criteria5))&
c(get(c6)(criteria_range6,criteria6))&
c(get(c7)(criteria_range7,criteria7))&
c(get(c8)(criteria_range8,criteria8))&
c(get(c9)(criteria_range9,criteria9))&
c(get(c10)(criteria_range10,criteria10))])

ret
}
```

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ExcelFunctionsR documentation built on July 1, 2020, 8:35 p.m.