R/data.R
In basilrabi/mansched2: Manpower Scheduler and Personnel Cost Calculator for Taganito Mine
#' Holidays in Taganito, Claver in the year 2017
#'
#' A data-set containing the dates of holidays and their descriptions.
#'
#' @format \code{\link{data.frame}} with 25 rows and 4 columns:
#' \describe{
#' \item{Month}{month name}
#' \item{Day}{day in the month}
#' \item{Type}{type of holiday.}
#' \item{Description}{description of holiday}
#' }
"holidays"
#' Cost accounting codes in SAP
#'
#' SAP cost codes used by accounting.
#'
#' @format \code{\link{data.frame}} with 779 rows and 4 columns:
#' \describe{
#' \item{code}{accounting code}
#' \item{description}{cost component}
#' \item{approach}{where to distribute SAP cost to in-house cost centers}
#' \item{class}{mine site cost classification}
#' }
"acSAP"
#' Valid equipment types
#'
#' A character vector containing the valid equipment types in Taganito Mine.
#'
#' @format character vector:
#'
#' \describe{
#' \item{ADT}{articulated dump truck}
#' \item{BREAKER}{breaker}
#' \item{CRANE}{crane}
#' \item{CT}{bull dozer}
#' \item{DT}{dump truck}
#' \item{FL}{fuel truck}
#' \item{FORKLIFT}{forklift}
#' \item{HDT}{HOWO dump truck}
#' \item{MDT}{mini dump truck}
#' \item{MOC}{mobile crusher}
#' \item{MOS}{mobile screen}
#' \item{MTX}{mini tracked excavator}
#' \item{MWL}{mini wheeled pay loader}
#' \item{PB}{pump boat}
#' \item{PMT}{prime mover (trailer)}
#' \item{RADIO}{radio}
#' \item{RG}{road grader}
#' \item{SB}{service bus}
#' \item{SP}{service pickup}
#' \item{ST}{service truck}
#' \item{TX}{tracked excavator}
#' \item{VC}{vibrating compactor}
#' \item{WL}{wheeled pay loader}
#' \item{WTL}{water truck}
#' \item{WX}{wheeled excavator}
#' }
#' @export validEquipment
validEquipment <- c("ADT",
"BREAKER",
"CRANE",
"CT",
"DT",
"FL",
"FORKLIFT",
"HDT",
"MDT",
"MOC",
"MOS",
"MTX",
"MWL",
"PB",
"PMT",
"RADIO",
"RG",
"SB",
"SP",
"ST",
"TX",
"VC",
"WL",
"WTL",
"WX")
#' Valid \code{personnelClass}
#'
#' A character vector containing the valid personnel classes used in this
#' package.
#'
#' @format character vector
#' @export validEmpClass
validEmpClass <- c("divisionmanager",
"groupmanager",
"departmentmanager",
"sectionhead",
"clerk",
"technical",
"supervisor",
"laborer",
"operator")
#' Valid employment \code{status}
#'
#' A character vector containing the valid employment status in Taganito Mine.
#'
#' @format character vector
#' @export validEmpStatus
validEmpStatus <- c("reg", "pro", "sea", "age")
#' Payment scheme for regular non-RF
#'
#' Salary increase of a regular non-RF employee is effective on July 1.
#'
#' @format \code{\link{data.frame}} with 12 rows and two columns
#' @export payA
payA <- data.frame(month = 1:12,
sal = c(rep("a", times = 0), rep("b", times = 12)))
#' Payment scheme for regular RF
#'
#' Salary increase of a regular RF employee is effective on February 1
#'
#' @format \code{\link{data.frame}} with 12 rows and two columns
#' @export payB
payB <- data.frame(month = 1:12,
sal = c("a", rep("b", times = 11)))
#' Wage premiums
#'
#' Hourly salary multipliers according to man hour types along with the their
#' corresponding night premiums.
#'
#' @format \code{\link{data.frame}} with 16 rows and 7 columns
#'
#' Each row represents the premium pay for a man hour type. The columns are
#' consisted by:
#' \describe{
#' \item{mhType}{character value representing the man hour type (see
#' \code{\link{assignEmp}})}
#' \item{premiumR}{numeric value representing the wage premium enjoyed by
#' regular employees}
#' \item{premiumS}{numeric value representing wage premium enjoyed by
#' non-regular employees}
#' \item{npR}{numeric value representing night premium enjoyed by regular
#' employees}
#' \item{npS}{numeric value representing night premium enjoyed by
#' non-regular employees}
#' \item{isOT.R}{logical value \cr
#' Is man hour type of regular employee treated as overtime work?}
#' \item{isOT.S}{logical value \cr
#' Is man hour type of non-regular employee treated as overtime work?}
#'
#' }
#' @seealso \code{\link{premium.RF}} \code{\link{premium.nonRF}}
#' @export premium
premium <- data.frame(mhType = c("reg",
"regOT",
"rd",
"rdOT",
"sh",
"shOT",
"lh",
"lhOT",
"nh",
"nhOT",
"rs",
"rsOT",
"rl",
"rlOT",
"rn",
"rnOT"),
premiumR = c(1.000,
1.350,
1.600,
2.050,
1.600,
2.050,
2.100,
2.700,
2.100,
2.500,
2.350,
3.025,
3.100,
4.000,
2.600,
3.350),
premiumS = c(1.000,
1.250,
1.300,
1.690,
1.300,
1.690,
2.000,
2.600,
1.000,
1.250,
1.690,
2.200,
2.600,
3.375,
1.300,
1.690),
npR = c(0.200,
0.200,
0.230,
0.230,
0.230,
0.230,
0.460,
0.460,
0.460,
0.460,
0.230,
0.230,
0.460,
0.460,
0.460,
0.460),
npS = c(0.100,
0.100,
0.130,
0.130,
0.130,
0.130,
0.200,
0.200,
0.100,
0.100,
0.130,
0.130,
0.200,
0.200,
0.130,
0.130),
isOT.R = c(FALSE,
TRUE,
TRUE,
TRUE,
TRUE,
TRUE,
TRUE,
TRUE,
TRUE,
TRUE,
TRUE,
TRUE,
TRUE,
TRUE,
TRUE,
TRUE),
isOT.S = c(FALSE,
TRUE,
TRUE,
TRUE,
TRUE,
TRUE,
TRUE,
TRUE,
FALSE,
TRUE,
TRUE,
TRUE,
TRUE,
TRUE,
TRUE,
TRUE))
#' Wage premiums for Rank and File
#'
#' @seealso \code{\link{premium}} \code{\link{premium.nonRF}}
#' @export premium.RF
premium.RF <- premium
iR <- premium.RF$mhType %in% c("sh", "lh", "nh", "rs", "rl", "rn")
iS <- premium.RF$mhType %in% c("sh", "lh", "rs", "rl")
premium.RF[iR, c("premiumR")] <- premium.RF[iR, c("premiumR")] - 1
premium.RF[iS, c("premiumS")] <- premium.RF[iS, c("premiumS")] - 1
#' Wage premiums for non-Rank and File
#'
#' @seealso \code{\link{premium}} \code{\link{premium.RF}}
#' @export premium.nonRF
premium.nonRF <- premium
iR <- premium.nonRF$mhType %in% c("sh", "lh", "nh")
iS <- premium.nonRF$mhType %in% c("sh", "lh")
premium.nonRF[iR, c("premiumR")] <- premium.nonRF[iR, c("premiumR")] - 1
premium.nonRF[iS, c("premiumS")] <- premium.nonRF[iS, c("premiumS")] - 1
seasonalSigningBonus <- 2400
#' Employer's SSS Contribution
#'
#' Details are posted in
#' \url{https://www.sss.gov.ph/sss/appmanager/pages.jsp?page=scheduleofcontribution}.
#'
#' @export SSS
SSS <- data.frame(r1 = c(-1,
3250,
3750,
4250,
4750,
5250,
5750,
6250,
6750,
7250,
7750,
8250,
8750,
9250,
9750,
10250,
10750,
11250,
11750,
12250,
12750,
13250,
13750,
14250,
14750,
15250,
15750,
16250,
16750,
17250,
17750,
18250,
18750,
19250,
19750,
20250,
20750,
21250,
21750,
22250,
22750,
23250,
23750,
24250,
24750),
r2 = c(3249.99,
3749.99,
4249.99,
4749.99,
5249.99,
5749.99,
6249.99,
6749.99,
7249.99,
7749.99,
8249.99,
8749.99,
9249.99,
9749.99,
10249.99,
10749.99,
11249.99,
11749.99,
12249.99,
12749.99,
13249.99,
13749.99,
14249.99,
14749.99,
15249.99,
15749.99,
16249.99,
16749.99,
17249.99,
17749.99,
18249.99,
18749.99,
19249.99,
19749.99,
20249.99,
20749.99,
21249.99,
21749.99,
22249.99,
22749.99,
23249.99,
23749.99,
24249.99,
24749.99,
999999999),
c = c(265.00,
307.50,
350.00,
392.50,
435.00,
477.50,
520.00,
562.50,
605.00,
647.50,
690.00,
732.50,
775.00,
817.50,
860.00,
902.50,
945.00,
987.50,
1030.00,
1072.50,
1115.00,
1157.50,
1200.00,
1242.50,
1305.00,
1347.50,
1390.00,
1432.50,
1475.00,
1517.50,
1560.00,
1602.50,
1645.00,
1687.50,
1730.00,
1772.50,
1815.00,
1857.50,
1900.00,
1942.50,
1985.00,
2027.50,
2070.00,
2112.50,
2155.00))
#' Costs accounting codes in M3
#'
#' M3 codes used by accounting.
#'
#' @export ac
ac <- data.frame(row = c("Salaries-Regular",
"OT Pay - Regular",
"Salaries-Seasonal",
"OT Pay - Seasonal",
"Employees Allowance",
"Employee Benefits",
"Premium SSS, EC",
"Prem-HDMF (Pag-ibig)",
"Philhealth",
"Leave Commutation",
"Hospital and Medical Expenses",
"Bonus",
"man-hours",
"CF Others",
"CF Manpower Services",
"Safety Gadgets",
"Grouplife",
"HMO",
"Food Allowance / Rice Subsidy",
"Retirement Benefits",
"Food and Food Supplies",
"Transportation Expense",
"Representation Expense",
"Office Supplies",
"Depletion Expense"),
code = c(521001L,
521021L,
521002L,
521022L,
521004L,
521005L,
521006L,
521007L,
521008L,
521012L,
521017L,
521009L,
999999L,
522099L,
522010L,
523011L,
524037L,
521018L,
521011L,
521030L,
523010L,
524002L,
524003L,
524030L,
525002L))
basilrabi/mansched2 documentation built on May 19, 2023, 9:51 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
#' Holidays in Taganito, Claver in the year 2017
#'
#' A data-set containing the dates of holidays and their descriptions.
#'
#' @format \code{\link{data.frame}} with 25 rows and 4 columns:
#' \describe{
#' \item{Month}{month name}
#' \item{Day}{day in the month}
#' \item{Type}{type of holiday.}
#' \item{Description}{description of holiday}
#' }
"holidays"
#' Cost accounting codes in SAP
#'
#' SAP cost codes used by accounting.
#'
#' @format \code{\link{data.frame}} with 779 rows and 4 columns:
#' \describe{
#' \item{code}{accounting code}
#' \item{description}{cost component}
#' \item{approach}{where to distribute SAP cost to in-house cost centers}
#' \item{class}{mine site cost classification}
#' }
"acSAP"
#' Valid equipment types
#'
#' A character vector containing the valid equipment types in Taganito Mine.
#'
#' @format character vector:
#'
#' \describe{
#' \item{ADT}{articulated dump truck}
#' \item{BREAKER}{breaker}
#' \item{CRANE}{crane}
#' \item{CT}{bull dozer}
#' \item{DT}{dump truck}
#' \item{FL}{fuel truck}
#' \item{FORKLIFT}{forklift}
#' \item{HDT}{HOWO dump truck}
#' \item{MDT}{mini dump truck}
#' \item{MOC}{mobile crusher}
#' \item{MOS}{mobile screen}
#' \item{MTX}{mini tracked excavator}
#' \item{MWL}{mini wheeled pay loader}
#' \item{PB}{pump boat}
#' \item{PMT}{prime mover (trailer)}
#' \item{RADIO}{radio}
#' \item{RG}{road grader}
#' \item{SB}{service bus}
#' \item{SP}{service pickup}
#' \item{ST}{service truck}
#' \item{TX}{tracked excavator}
#' \item{VC}{vibrating compactor}
#' \item{WL}{wheeled pay loader}
#' \item{WTL}{water truck}
#' \item{WX}{wheeled excavator}
#' }
#' @export validEquipment
validEquipment <- c("ADT",
"BREAKER",
"CRANE",
"CT",
"DT",
"FL",
"FORKLIFT",
"HDT",
"MDT",
"MOC",
"MOS",
"MTX",
"MWL",
"PB",
"PMT",
"RADIO",
"RG",
"SB",
"SP",
"ST",
"TX",
"VC",
"WL",
"WTL",
"WX")
#' Valid \code{personnelClass}
#'
#' A character vector containing the valid personnel classes used in this
#' package.
#'
#' @format character vector
#' @export validEmpClass
validEmpClass <- c("divisionmanager",
"groupmanager",
"departmentmanager",
"sectionhead",
"clerk",
"technical",
"supervisor",
"laborer",
"operator")
#' Valid employment \code{status}
#'
#' A character vector containing the valid employment status in Taganito Mine.
#'
#' @format character vector
#' @export validEmpStatus
validEmpStatus <- c("reg", "pro", "sea", "age")
#' Payment scheme for regular non-RF
#'
#' Salary increase of a regular non-RF employee is effective on July 1.
#'
#' @format \code{\link{data.frame}} with 12 rows and two columns
#' @export payA
payA <- data.frame(month = 1:12,
sal = c(rep("a", times = 0), rep("b", times = 12)))
#' Payment scheme for regular RF
#'
#' Salary increase of a regular RF employee is effective on February 1
#'
#' @format \code{\link{data.frame}} with 12 rows and two columns
#' @export payB
payB <- data.frame(month = 1:12,
sal = c("a", rep("b", times = 11)))
#' Wage premiums
#'
#' Hourly salary multipliers according to man hour types along with the their
#' corresponding night premiums.
#'
#' @format \code{\link{data.frame}} with 16 rows and 7 columns
#'
#' Each row represents the premium pay for a man hour type. The columns are
#' consisted by:
#' \describe{
#' \item{mhType}{character value representing the man hour type (see
#' \code{\link{assignEmp}})}
#' \item{premiumR}{numeric value representing the wage premium enjoyed by
#' regular employees}
#' \item{premiumS}{numeric value representing wage premium enjoyed by
#' non-regular employees}
#' \item{npR}{numeric value representing night premium enjoyed by regular
#' employees}
#' \item{npS}{numeric value representing night premium enjoyed by
#' non-regular employees}
#' \item{isOT.R}{logical value \cr
#' Is man hour type of regular employee treated as overtime work?}
#' \item{isOT.S}{logical value \cr
#' Is man hour type of non-regular employee treated as overtime work?}
#'
#' }
#' @seealso \code{\link{premium.RF}} \code{\link{premium.nonRF}}
#' @export premium
premium <- data.frame(mhType = c("reg",
"regOT",
"rd",
"rdOT",
"sh",
"shOT",
"lh",
"lhOT",
"nh",
"nhOT",
"rs",
"rsOT",
"rl",
"rlOT",
"rn",
"rnOT"),
premiumR = c(1.000,
1.350,
1.600,
2.050,
1.600,
2.050,
2.100,
2.700,
2.100,
2.500,
2.350,
3.025,
3.100,
4.000,
2.600,
3.350),
premiumS = c(1.000,
1.250,
1.300,
1.690,
1.300,
1.690,
2.000,
2.600,
1.000,
1.250,
1.690,
2.200,
2.600,
3.375,
1.300,
1.690),
npR = c(0.200,
0.200,
0.230,
0.230,
0.230,
0.230,
0.460,
0.460,
0.460,
0.460,
0.230,
0.230,
0.460,
0.460,
0.460,
0.460),
npS = c(0.100,
0.100,
0.130,
0.130,
0.130,
0.130,
0.200,
0.200,
0.100,
0.100,
0.130,
0.130,
0.200,
0.200,
0.130,
0.130),
isOT.R = c(FALSE,
TRUE,
TRUE,
TRUE,
TRUE,
TRUE,
TRUE,
TRUE,
TRUE,
TRUE,
TRUE,
TRUE,
TRUE,
TRUE,
TRUE,
TRUE),
isOT.S = c(FALSE,
TRUE,
TRUE,
TRUE,
TRUE,
TRUE,
TRUE,
TRUE,
FALSE,
TRUE,
TRUE,
TRUE,
TRUE,
TRUE,
TRUE,
TRUE))
#' Wage premiums for Rank and File
#'
#' @seealso \code{\link{premium}} \code{\link{premium.nonRF}}
#' @export premium.RF
premium.RF <- premium
iR <- premium.RF$mhType %in% c("sh", "lh", "nh", "rs", "rl", "rn")
iS <- premium.RF$mhType %in% c("sh", "lh", "rs", "rl")
premium.RF[iR, c("premiumR")] <- premium.RF[iR, c("premiumR")] - 1
premium.RF[iS, c("premiumS")] <- premium.RF[iS, c("premiumS")] - 1
#' Wage premiums for non-Rank and File
#'
#' @seealso \code{\link{premium}} \code{\link{premium.RF}}
#' @export premium.nonRF
premium.nonRF <- premium
iR <- premium.nonRF$mhType %in% c("sh", "lh", "nh")
iS <- premium.nonRF$mhType %in% c("sh", "lh")
premium.nonRF[iR, c("premiumR")] <- premium.nonRF[iR, c("premiumR")] - 1
premium.nonRF[iS, c("premiumS")] <- premium.nonRF[iS, c("premiumS")] - 1
seasonalSigningBonus <- 2400
#' Employer's SSS Contribution
#'
#' Details are posted in
#' \url{https://www.sss.gov.ph/sss/appmanager/pages.jsp?page=scheduleofcontribution}.
#'
#' @export SSS
SSS <- data.frame(r1 = c(-1,
3250,
3750,
4250,
4750,
5250,
5750,
6250,
6750,
7250,
7750,
8250,
8750,
9250,
9750,
10250,
10750,
11250,
11750,
12250,
12750,
13250,
13750,
14250,
14750,
15250,
15750,
16250,
16750,
17250,
17750,
18250,
18750,
19250,
19750,
20250,
20750,
21250,
21750,
22250,
22750,
23250,
23750,
24250,
24750),
r2 = c(3249.99,
3749.99,
4249.99,
4749.99,
5249.99,
5749.99,
6249.99,
6749.99,
7249.99,
7749.99,
8249.99,
8749.99,
9249.99,
9749.99,
10249.99,
10749.99,
11249.99,
11749.99,
12249.99,
12749.99,
13249.99,
13749.99,
14249.99,
14749.99,
15249.99,
15749.99,
16249.99,
16749.99,
17249.99,
17749.99,
18249.99,
18749.99,
19249.99,
19749.99,
20249.99,
20749.99,
21249.99,
21749.99,
22249.99,
22749.99,
23249.99,
23749.99,
24249.99,
24749.99,
999999999),
c = c(265.00,
307.50,
350.00,
392.50,
435.00,
477.50,
520.00,
562.50,
605.00,
647.50,
690.00,
732.50,
775.00,
817.50,
860.00,
902.50,
945.00,
987.50,
1030.00,
1072.50,
1115.00,
1157.50,
1200.00,
1242.50,
1305.00,
1347.50,
1390.00,
1432.50,
1475.00,
1517.50,
1560.00,
1602.50,
1645.00,
1687.50,
1730.00,
1772.50,
1815.00,
1857.50,
1900.00,
1942.50,
1985.00,
2027.50,
2070.00,
2112.50,
2155.00))
#' Costs accounting codes in M3
#'
#' M3 codes used by accounting.
#'
#' @export ac
ac <- data.frame(row = c("Salaries-Regular",
"OT Pay - Regular",
"Salaries-Seasonal",
"OT Pay - Seasonal",
"Employees Allowance",
"Employee Benefits",
"Premium SSS, EC",
"Prem-HDMF (Pag-ibig)",
"Philhealth",
"Leave Commutation",
"Hospital and Medical Expenses",
"Bonus",
"man-hours",
"CF Others",
"CF Manpower Services",
"Safety Gadgets",
"Grouplife",
"HMO",
"Food Allowance / Rice Subsidy",
"Retirement Benefits",
"Food and Food Supplies",
"Transportation Expense",
"Representation Expense",
"Office Supplies",
"Depletion Expense"),
code = c(521001L,
521021L,
521002L,
521022L,
521004L,
521005L,
521006L,
521007L,
521008L,
521012L,
521017L,
521009L,
999999L,
522099L,
522010L,
523011L,
524037L,
521018L,
521011L,
521030L,
523010L,
524002L,
524003L,
524030L,
525002L))
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Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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