_data_helperfiles/preparingtables.R
In vanzanden/ggsolvencyii: A 'ggplot2'-Plot of Composition of Solvency II SCR: SF and IM
## GNU General Public License version 3 , see file LICENCE ============== =====
##
## sourcefile of package 'ggsolvencyii'
## Copyright (C) <2018> < Marco van Zanden , git@vanzanden.nl >
##
## This program is free software: you can redistribute it and/or modify
## it under the terms of the GNU General Public License as published by
## the Free Software Foundation, either version 3 of the License, or
## (at your option) any later version.
##
## This program is distributed in the hope that it will be useful,
## but WITHOUT ANY WARRANTY; without even the implied warranty of
## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
## GNU General Public License for more details.
##
## You should have received a copy of the GNU General Public License
## along with this program. If not, see <https://www.gnu.org/licenses/>.
##
## ====================================================================== =====
## sii_structure_sf16_eng/nld , sii_edge/fillcolors_eng/nld ============= =====
## read data from xls==== =====
readdata <- readxl::read_xlsx(path = "_data_helperfiles/preparingtables.xlsx",
sheet = "struct_and_colors_sf16",
col_types = c(rep("text", 8)))
readdata
## struct eng =========== =====
dataset <- dplyr::select(readdata,
description = description_eng,
level,
childlevel)
dataset <- dataset[!is.na(dataset$description), ]
sii_structure_sf16_eng <- dataset
# sii_structure_sf16_eng
usethis::use_data(sii_structure_sf16_eng, overwrite = FALSE)
rm(sii_structure_sf16_eng) ; rm(dataset)
## color fill eng ======= =====
dataset <- dplyr::select(readdata,
description = description_color_eng,
colorset = fill)
dataset <- dataset[!is.na(dataset$colorset), ]
colorset <- paste0("#",dataset$colorset)
names(colorset) <- dataset$description
sii_x_fillcolors_eng <- colorset
# sii_x_fillcolors_sf16_eng
usethis::use_data(sii_x_fillcolors_sf16_eng, overwrite = FALSE)
rm(sii_x_fillcolors_sf16_eng) ; rm(dataset); rm(colorset)
## color edge eng ======= =====
dataset <- dplyr::select(readdata,
description=description_color_eng,
colorset = edge)
dataset <- dataset[!is.na(dataset$colorset), ]
colorset <- paste0("#",dataset$colorset)
names(colorset) <- dataset$description
sii_x_edgecolors_sf16_eng <- colorset
# sii_x_edgecolors_sf16_eng
usethis::use_data(sii_x_edgecolors_sf16_eng, overwrite = FALSE)
rm(sii_x_edgecolors_sf16_eng) ; rm(dataset); rm(colorset)
## struct nld ========= =====
dataset <- dplyr::select(readdata,
description = description_nld,
level,
childlevel)
dataset <- dataset[!is.na(dataset$description), ]
sii_structure_sf16_nld <- dataset
# sii_structure_sf16_nld
usethis::use_data(sii_structure_sf16_nld, overwrite = FALSE)
rm(sii_structure_sf16_nld) ; rm(dataset)
## color fill nld ===== =====
dataset <- dplyr::select(readdata,
description = description_color_nld,
colorset = fill)
dataset <- dataset[!is.na(dataset$colorset), ]
colorset <- paste0("#",dataset$colorset)
names(colorset) <- dataset$description
sii_x_fillcolors_sf16_nld <- colorset
# sii_x_fillcolors_sf16_nld
usethis::use_data(sii_x_fillcolors_sf16_nld, overwrite = FALSE)
rm(sii_x_fillcolors_sf16_nld) ; rm(dataset); rm(colorset)
## color edge nld ===== =====
dataset <- dplyr::select(readdata,
description=description_color_nld,
colorset = edge)
dataset <- dataset[!is.na(dataset$colorset), ]
colorset <- paste0("#",dataset$colorset)
names(colorset) <- dataset$description
sii_x_edgecolors_sf16_nld <- colorset
usethis::use_data(sii_x_edgecolors_sf16_nld, overwrite = FALSE)
rm(sii_x_edgecolors_sf16_nld) ; rm(dataset); rm(colorset)
## last cleanup ========= =====
rm(readdata)
## sii_levelmax_sf16_995 ================================================ =====
sii_levelmax_sf16_995 <- readxl::read_xlsx(path = "_data_helperfiles/preparingtables.xlsx",
sheet = "levelmax_sf16_995")
# sii_levelmax_sf16_995
usethis::use_data(sii_levelmax_sf16_995, overwrite = FALSE)
rm(sii_levelmax_sf16_995)
## sii_levelmax_sf16_993 ================================================ =====
sii_levelmax_sf16_993 <- readxl::read_xlsx(path = "_data_helperfiles/preparingtables.xlsx",
sheet = "levelmax_sf16_993")
# sii_levelmax_sf16_993
usethis::use_data(sii_levelmax_sf16_993, overwrite = FALSE)
rm(sii_levelmax_sf16_993)
## sii_plotdetails_sf16 ================================================= =====
data <- readxl::read_xlsx(path = "_data_helperfiles/preparingtables.xlsx",
sheet = "plotdetails_sf16")
data$levelordescription <- as.character(data$levelordescription)
data$surface <- as.logical(data$surface)
data$outline1 <- as.logical(data$outline1)
data$outline2 <- as.logical(data$outline2)
data$outline3 <- as.logical(data$outline3)
data$outline4 <- as.logical(data$outline4)
data$outline11 <- as.logical(data$outline11)
data$outline13 <- as.logical(data$outline13)
sii_plotdetails_sf16 <- as.data.frame(data)
# sii_plotdetails_sf16
usethis::use_data(sii_plotdetails_sf16, overwrite = FALSE)
## test for tidyverse transformation for outline
testdata <- dplyr::select(sii_plotdetails_sf16, - surface)
testdata <- tidyr::gather(data = testdata, key = outlinetype, value = draw, -levelordescription)
rm(data)
rm(testdata)
rm(sii_plotdetails_sf16)
## e x a m p l e 1 ==================================================== =====
## sii_z_ex1_data ======================================================= =====
data <- readxl::read_xlsx(path = "_data_helperfiles/preparingtables.xlsx",
sheet = "ex1_data")
data <- tidyr::gather(data,
key = description,
value = value,
-id, -time, -ratio, -comparewithid )
sii_z_ex1_data <- data.frame(
time = as.numeric(data$time),
ratio = as.numeric(data$ratio),
description = data$description, # it has to be a factor !!
value = as.numeric(data$value),
id = data$id,
comparewithid = data$comparewithid
)
# sii_z_ex1_data
usethis::use_data(sii_z_ex1_data, overwrite = FALSE)
rm(data)
rm(sii_z_ex1_data)
## sii_z_ex1_structure , edge- and fillcolors============================ =====
## read data from xls==== =====
readdata <- readxl::read_xlsx(path = "_data_helperfiles/preparingtables.xlsx",
sheet = "ex1_struct_and_colors",
col_types = c(rep("text", 8)))
readdata
## struct =============== =====
dataset <- dplyr::select(readdata,
description = description_eng,
level,
childlevel)
dataset <- dataset[!is.na(dataset$description), ]
sii_z_ex1_structure <- dataset
# sii_z_ex1_structure
usethis::use_data(sii_z_ex1_structure, overwrite = FALSE)
rm(sii_z_ex1_structure) ; rm(dataset)
## color fill =========== =====
dataset <- dplyr::select(readdata,
description = description_color_eng,
colorset = fill)
dataset <- dataset[!is.na(dataset$colorset), ]
colorset <- paste0("#",dataset$colorset)
names(colorset) <- dataset$description
sii_z_ex1_fillcolors <- colorset
# sii_z_ex1_fillcolors
usethis::use_data(sii_z_ex1_fillcolors, overwrite = FALSE)
rm(sii_z_ex1_fillcolors) ; rm(dataset); rm(colorset)
## color edge =========== =====
dataset <- dplyr::select(readdata,
description=description_color_eng,
colorset = edge)
dataset <- dataset[!is.na(dataset$colorset), ]
colorset <- paste0("#",dataset$colorset)
names(colorset) <- dataset$description
sii_z_ex1_edgecolors <- colorset
# sii_z_ex1_edgecolors
usethis::use_data(sii_z_ex1_edgecolors, overwrite = FALSE)
rm(sii_z_ex1_edgecolors) ; rm(dataset); rm(colorset)
## last cleanup ========= =====
rm(readdata)
## sii_z_ex1_plotdetails ================================================ =====
data <- readxl::read_xlsx(path = "_data_helperfiles/preparingtables.xlsx",
sheet = "ex1_plotdetails")
data$levelordescription <- as.character(data$levelordescription)
data$surface <- as.logical(data$surface)
data$outline1 <- as.logical(data$outline1)
data$outline2 <- as.logical(data$outline2)
data$outline3 <- as.logical(data$outline3)
data$outline4 <- as.logical(data$outline4)
data$outline11 <- as.logical(data$outline11)
data$outline13 <- as.logical(data$outline13)
sii_z_ex1_plotdetails <- as.data.frame(data)
# sii_z_ex1_plotdetails
usethis::use_data(sii_z_ex1_plotdetails, overwrite = FALSE)
## test for tidyverse transformation for outline
testdata <- dplyr::select(sii_z_ex1_plotdetails, - surface)
testdata <- tidyr::gather(data = testdata, key = outlinetype, value = draw, -levelordescription)
rm(data)
rm(testdata)
rm(sii_z_ex1_plotdetails)
## sii_z_ex1_plotdetails2================================================ =====
data <- readxl::read_xlsx(path = "_data_helperfiles/preparingtables.xlsx",
sheet = "ex1_plotdetails2")
data$levelordescription <- as.character(data$levelordescription)
data$surface <- as.logical(data$surface)
data$outline1 <- as.logical(data$outline1)
data$outline2 <- as.logical(data$outline2)
data$outline3 <- as.logical(data$outline3)
data$outline4 <- as.logical(data$outline4)
data$outline11 <- as.logical(data$outline11)
data$outline13 <- as.logical(data$outline13)
sii_z_ex1_plotdetails2 <- as.data.frame(data)
sii_z_ex1_plotdetails2
usethis::use_data(sii_z_ex1_plotdetails2, overwrite = FALSE)
## test for tidyverse transformation for outline
testdata <- dplyr::select(sii_z_ex1_plotdetails2, - surface)
testdata <- tidyr::gather(data = testdata, key = outlinetype, value = draw, -levelordescription)
rm(data)
rm(testdata)
rm(sii_z_ex1_plotdetails2)
## sii_z_ex1_levelmax =================================================== =====
data <- readxl::read_xlsx(path = "_data_helperfiles/preparingtables.xlsx",
sheet = "ex1_levelmax")
sii_z_ex1_levelmax <- data.frame(
level = as.character(data$level),
levelmax = as.numeric(data$levelmax)
)
# sii_z_ex1_levelmax
usethis::use_data(sii_z_ex1_levelmax, overwrite = FALSE)
rm(data)
rm(sii_z_ex1_levelmax)
## e x a m p l e 2 ==================================================== =====
## sii_z_ex2_data ======================================================= =====
data <- readxl::read_xlsx(path = "_data_helperfiles/preparingtables.xlsx",
sheet = "ex2_data")
data <- tidyr::gather(data,
key = description,
value = value,
-id, -time, -ratio)
sii_z_ex2_data <- data.frame(
time = as.numeric(data$time),
ratio = as.numeric(data$ratio),
description = data$description, # it has to be a factor !!
value = as.numeric(data$value),
id = data$id #,
# comparewithid = data$comparewithid
)
# sii_z_ex2_data
usethis::use_data(sii_z_ex2_data, overwrite = FALSE)
rm(data)
rm(sii_z_ex2_data)
## e x a m p l e 3 ==================================================== =====
## sii_z_ex3_data ======================================================= =====
data <- readxl::read_xlsx(path = "_data_helperfiles/preparingtables.xlsx",
sheet = "ex3_data")
data <- tidyr::gather(data,
key = description,
value = value,
-id, -time, -ratio, -comparewithid)
sii_z_ex3_data <- data.frame(
time = as.numeric(data$time),
ratio = as.numeric(data$ratio),
description = data$description, # it has to be a factor !!
value = as.numeric(data$value),
id = data$id,
comparewithid = data$comparewithid
)
# sii_z_ex3_data
usethis::use_data(sii_z_ex3_data, overwrite = FALSE)
rm(data)
rm(sii_z_ex3_data)
## sii_z_ex3_plotdetails ================================================ =====
data <- readxl::read_xlsx(path = "_data_helperfiles/preparingtables.xlsx",
sheet = "ex3_plotdetails")
data$levelordescription <- as.character(data$levelordescription)
data$surface <- as.logical(data$surface)
data$outline1 <- as.logical(data$outline1)
data$outline2 <- as.logical(data$outline2)
data$outline3 <- as.logical(data$outline3)
data$outline4 <- as.logical(data$outline4)
data$outline11 <- as.logical(data$outline11)
data$outline13 <- as.logical(data$outline13)
sii_z_ex3_plotdetails <- as.data.frame(data)
# sii_z_ex3_plotdetails
usethis::use_data(sii_z_ex3_plotdetails, overwrite = FALSE)
## test for tidyverse transformation for outline
testdata <- dplyr::select(sii_z_ex3_plotdetails, - surface)
testdata <- tidyr::gather(data = testdata, key = outlinetype, value = draw, -levelordescription)
rm(data)
rm(testdata)
rm(sii_z_ex3_plotdetails)
## e x a m p l e 4 ==================================================== =====
## sii_z_ex4_structure ================================================== =====
sii_z_ex4_structure <- readxl::read_xlsx(path = "_data_helperfiles/preparingtables.xlsx",
sheet = "ex4_struct",
col_types = c(rep("text", 3),
rep("skip", 2)))
# sii_z_ex4_structure
usethis::use_data(sii_z_ex4_structure, overwrite = FALSE)
rm(sii_z_ex4_structure)
## sii_z_ex4_data ======================================================= =====
data <- readxl::read_xlsx(path = "_data_helperfiles/preparingtables.xlsx",
sheet = "ex4_data")
data <- tidyr::gather(data,
key = description,
value = value,
-id, -time, -ratio, -comparewithid)
sii_z_ex4_data <- data.frame(
time = as.numeric(data$time),
ratio = as.numeric(data$ratio),
description = data$description, # it has to be a factor !!
value = as.numeric(data$value),
id = data$id,
comparewithid = data$comparewithid
)
# sii_z_ex4_data
usethis::use_data(sii_z_ex4_data, overwrite = FALSE)
rm(data)
rm(sii_z_ex4_data)
## sii_z_ex4_levelmax =================================================== =====
data <- readxl::read_xlsx(path = "_data_helperfiles/preparingtables.xlsx",
sheet = "ex4_levelmax")
sii_z_ex4_levelmax <- data.frame(
level = as.character(data$level),
levelmax = as.numeric(data$levelmax)
)
# sii_z_ex4_levelmax
usethis::use_data(sii_z_ex4_levelmax, overwrite = FALSE)
rm(data)
rm(sii_z_ex4_levelmax)
## e x a m p l e 5 ==================================================== =====
##
## as of now redundant
## e x a m p l e 6 ==================================================== =====
## sii_z_ex6_structure , edge- and fillcolors============================ =====
## read data from xls==== =====
readdata <- readxl::read_xlsx(path = "_data_helperfiles/preparingtables.xlsx",
sheet = "ex6_struct_and_colors",
col_types = c(rep("text", 8)))
readdata
## struct eng =========== =====
dataset <- dplyr::select(readdata,
description = description_eng,
level,
childlevel)
dataset <- dataset[!is.na(dataset$description), ]
sii_z_ex6_structure <- dataset
sii_z_ex6_structure
usethis::use_data(sii_z_ex6_structure, overwrite = FALSE)
rm(sii_z_ex6_structure) ; rm(dataset)
## color fill eng ======= =====
dataset <- dplyr::select(readdata,
description = description_color_eng,
colorset = fill)
dataset <- dataset[!is.na(dataset$colorset), ]
colorset <- paste0("#",dataset$colorset)
names(colorset) <- dataset$description
sii_z_ex6_fillcolors <- colorset
# sii_z_ex6_fillcolors
usethis::use_data(sii_z_ex6_fillcolors, overwrite = FALSE)
rm(sii_z_ex6_fillcolors) ; rm(dataset); rm(colorset)
## color edge eng ======= =====
dataset <- dplyr::select(readdata,
description=description_color_eng,
colorset = edge)
dataset <- dataset[!is.na(dataset$colorset), ]
colorset <- paste0("#",dataset$colorset)
names(colorset) <- dataset$description
sii_z_ex6_edgecolors <- colorset
# sii_z_ex6_edgecolors
usethis::use_data(sii_z_ex6_edgecolors, overwrite = FALSE)
rm(sii_z_ex6_edgecolors) ; rm(dataset); rm(colorset)
## last cleanup ========= =====
rm(readdata)
## sii_z_ex6_data ======================================================= =====
data <- readxl::read_xlsx(path = "_data_helperfiles/preparingtables.xlsx",
sheet = "ex6_data")
data <- tidyr::gather(data,
key = description,
value = value,
-id, -time, -ratio, -comparewithid)
sii_z_ex6_data <- data.frame(
time = as.numeric(data$time),
ratio = as.numeric(data$ratio),
description = data$description, # it has to be a factor !!
value = as.numeric(data$value),
id = data$id,
comparewithid = data$comparewithid
)
# sii_z_ex6_data
usethis::use_data(sii_z_ex6_data, overwrite = FALSE)
rm(data)
rm(sii_z_ex6_data)
## sii_z_ex6_data2 ====================================================== =====
data <- readxl::read_xlsx(path = "_data_helperfiles/preparingtables.xlsx",
sheet = "ex6_data_adapted")
data <- tidyr::gather(data,
key = description,
value = value,
-id, -time, -ratio, -comparewithid)
sii_z_ex6_data2 <- data.frame(
time = as.numeric(data$time),
ratio = as.numeric(data$ratio),
description = data$description, # it has to be a factor !!
value = as.numeric(data$value),
id = data$id,
comparewithid = data$comparewithid
)
# sii_z_ex6_data2
usethis::use_data(sii_z_ex6_data2, overwrite = FALSE)
rm(data)
rm(sii_z_ex6_data2)
## sii_z_ex6_levelmax =================================================== =====
data <- readxl::read_xlsx(path = "_data_helperfiles/preparingtables.xlsx",
sheet = "ex6_levelmax")
sii_z_ex6_levelmax <- data.frame(
level = as.character(data$level),
levelmax = as.numeric(data$levelmax)
)
# sii_z_ex6_levelmax
usethis::use_data(sii_z_ex6_levelmax, overwrite = FALSE)
rm(data)
rm(sii_z_ex6_levelmax)
## sii_z_ex6_plotdetails ================================================ =====
data <- readxl::read_xlsx(path = "_data_helperfiles/preparingtables.xlsx",
sheet = "ex6_plotdetails")
data$levelordescription <- as.character(data$levelordescription)
data$surface <- as.logical(data$surface)
data$outline1 <- as.logical(data$outline1)
data$outline2 <- as.logical(data$outline2)
data$outline3 <- as.logical(data$outline3)
data$outline4 <- as.logical(data$outline4)
data$outline11 <- as.logical(data$outline11)
data$outline13 <- as.logical(data$outline13)
sii_z_ex6_plotdetails <- as.data.frame(data)
# sii_z_ex6_plotdetails
usethis::use_data(sii_z_ex6_plotdetails, overwrite = FALSE)
## test for tidyverse transformation for outline
testdata <- dplyr::select(sii_z_ex6_plotdetails, - surface)
testdata <- tidyr::gather(data = testdata, key = outlinetype, value = draw, -levelordescription)
rm(data)
rm(testdata)
rm(sii_z_ex6_plotdetails)
## e x a m p l e 7 ==================================================== =====
## sii_z_ex7_data ======================================================= =====
data <- readxl::read_xlsx(path = "_data_helperfiles/preparingtables.xlsx",
sheet = "ex7_data")
data <- tidyr::gather(data,
key = description,
value = waarde,
-id, -tijd, -ratio, -vergelijkmet)
sii_z_ex7_data <- data.frame(
tijd = as.numeric(data$tijd),
ratio = as.numeric(data$ratio),
description = data$description, # it has to be a factor !!
waarde = as.numeric(data$waarde),
id = data$id,
vergelijkmet = data$vergelijkmet
)
# sii_z_ex7_data
usethis::use_data(sii_z_ex7_data, overwrite = FALSE)
rm(data)
rm(sii_z_ex7_data)
## sii_z_ex7_plotdetails ================================================ =====
data <- readxl::read_xlsx(path = "_data_helperfiles/preparingtables.xlsx",
sheet = "ex7_plotdetails")
data$levelordescription <- as.character(data$levelordescription)
data$surface <- as.logical(data$surface)
data$outline1 <- as.logical(data$outline1)
data$outline2 <- as.logical(data$outline2)
data$outline3 <- as.logical(data$outline3)
data$outline4 <- as.logical(data$outline4)
data$outline11 <- as.logical(data$outline11)
data$outline13 <- as.logical(data$outline13)
sii_z_ex7_plotdetails <- as.data.frame(data)
# sii_z_ex7_plotdetails
usethis::use_data(sii_z_ex7_plotdetails, overwrite = FALSE)
## test for tidyverse transformation for outline
testdata <- dplyr::select(sii_z_ex7_plotdetails, - surface)
testdata <- tidyr::gather(data = testdata, key = outlinetype, value = draw, -levelordescription)
rm(data)
rm(testdata)
rm(sii_z_ex7_plotdetails)
## ====================================================================== ===
vanzanden/ggsolvencyii documentation built on May 31, 2019, 5:23 p.m.
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## GNU General Public License version 3 , see file LICENCE ============== =====
##
## sourcefile of package 'ggsolvencyii'
## Copyright (C) <2018> < Marco van Zanden , git@vanzanden.nl >
##
## This program is free software: you can redistribute it and/or modify
## it under the terms of the GNU General Public License as published by
## the Free Software Foundation, either version 3 of the License, or
## (at your option) any later version.
##
## This program is distributed in the hope that it will be useful,
## but WITHOUT ANY WARRANTY; without even the implied warranty of
## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
## GNU General Public License for more details.
##
## You should have received a copy of the GNU General Public License
## along with this program. If not, see <https://www.gnu.org/licenses/>.
##
## ====================================================================== =====
## sii_structure_sf16_eng/nld , sii_edge/fillcolors_eng/nld ============= =====
## read data from xls==== =====
readdata <- readxl::read_xlsx(path = "_data_helperfiles/preparingtables.xlsx",
sheet = "struct_and_colors_sf16",
col_types = c(rep("text", 8)))
readdata
## struct eng =========== =====
dataset <- dplyr::select(readdata,
description = description_eng,
level,
childlevel)
dataset <- dataset[!is.na(dataset$description), ]
sii_structure_sf16_eng <- dataset
# sii_structure_sf16_eng
usethis::use_data(sii_structure_sf16_eng, overwrite = FALSE)
rm(sii_structure_sf16_eng) ; rm(dataset)
## color fill eng ======= =====
dataset <- dplyr::select(readdata,
description = description_color_eng,
colorset = fill)
dataset <- dataset[!is.na(dataset$colorset), ]
colorset <- paste0("#",dataset$colorset)
names(colorset) <- dataset$description
sii_x_fillcolors_eng <- colorset
# sii_x_fillcolors_sf16_eng
usethis::use_data(sii_x_fillcolors_sf16_eng, overwrite = FALSE)
rm(sii_x_fillcolors_sf16_eng) ; rm(dataset); rm(colorset)
## color edge eng ======= =====
dataset <- dplyr::select(readdata,
description=description_color_eng,
colorset = edge)
dataset <- dataset[!is.na(dataset$colorset), ]
colorset <- paste0("#",dataset$colorset)
names(colorset) <- dataset$description
sii_x_edgecolors_sf16_eng <- colorset
# sii_x_edgecolors_sf16_eng
usethis::use_data(sii_x_edgecolors_sf16_eng, overwrite = FALSE)
rm(sii_x_edgecolors_sf16_eng) ; rm(dataset); rm(colorset)
## struct nld ========= =====
dataset <- dplyr::select(readdata,
description = description_nld,
level,
childlevel)
dataset <- dataset[!is.na(dataset$description), ]
sii_structure_sf16_nld <- dataset
# sii_structure_sf16_nld
usethis::use_data(sii_structure_sf16_nld, overwrite = FALSE)
rm(sii_structure_sf16_nld) ; rm(dataset)
## color fill nld ===== =====
dataset <- dplyr::select(readdata,
description = description_color_nld,
colorset = fill)
dataset <- dataset[!is.na(dataset$colorset), ]
colorset <- paste0("#",dataset$colorset)
names(colorset) <- dataset$description
sii_x_fillcolors_sf16_nld <- colorset
# sii_x_fillcolors_sf16_nld
usethis::use_data(sii_x_fillcolors_sf16_nld, overwrite = FALSE)
rm(sii_x_fillcolors_sf16_nld) ; rm(dataset); rm(colorset)
## color edge nld ===== =====
dataset <- dplyr::select(readdata,
description=description_color_nld,
colorset = edge)
dataset <- dataset[!is.na(dataset$colorset), ]
colorset <- paste0("#",dataset$colorset)
names(colorset) <- dataset$description
sii_x_edgecolors_sf16_nld <- colorset
usethis::use_data(sii_x_edgecolors_sf16_nld, overwrite = FALSE)
rm(sii_x_edgecolors_sf16_nld) ; rm(dataset); rm(colorset)
## last cleanup ========= =====
rm(readdata)
## sii_levelmax_sf16_995 ================================================ =====
sii_levelmax_sf16_995 <- readxl::read_xlsx(path = "_data_helperfiles/preparingtables.xlsx",
sheet = "levelmax_sf16_995")
# sii_levelmax_sf16_995
usethis::use_data(sii_levelmax_sf16_995, overwrite = FALSE)
rm(sii_levelmax_sf16_995)
## sii_levelmax_sf16_993 ================================================ =====
sii_levelmax_sf16_993 <- readxl::read_xlsx(path = "_data_helperfiles/preparingtables.xlsx",
sheet = "levelmax_sf16_993")
# sii_levelmax_sf16_993
usethis::use_data(sii_levelmax_sf16_993, overwrite = FALSE)
rm(sii_levelmax_sf16_993)
## sii_plotdetails_sf16 ================================================= =====
data <- readxl::read_xlsx(path = "_data_helperfiles/preparingtables.xlsx",
sheet = "plotdetails_sf16")
data$levelordescription <- as.character(data$levelordescription)
data$surface <- as.logical(data$surface)
data$outline1 <- as.logical(data$outline1)
data$outline2 <- as.logical(data$outline2)
data$outline3 <- as.logical(data$outline3)
data$outline4 <- as.logical(data$outline4)
data$outline11 <- as.logical(data$outline11)
data$outline13 <- as.logical(data$outline13)
sii_plotdetails_sf16 <- as.data.frame(data)
# sii_plotdetails_sf16
usethis::use_data(sii_plotdetails_sf16, overwrite = FALSE)
## test for tidyverse transformation for outline
testdata <- dplyr::select(sii_plotdetails_sf16, - surface)
testdata <- tidyr::gather(data = testdata, key = outlinetype, value = draw, -levelordescription)
rm(data)
rm(testdata)
rm(sii_plotdetails_sf16)
## e x a m p l e 1 ==================================================== =====
## sii_z_ex1_data ======================================================= =====
data <- readxl::read_xlsx(path = "_data_helperfiles/preparingtables.xlsx",
sheet = "ex1_data")
data <- tidyr::gather(data,
key = description,
value = value,
-id, -time, -ratio, -comparewithid )
sii_z_ex1_data <- data.frame(
time = as.numeric(data$time),
ratio = as.numeric(data$ratio),
description = data$description, # it has to be a factor !!
value = as.numeric(data$value),
id = data$id,
comparewithid = data$comparewithid
)
# sii_z_ex1_data
usethis::use_data(sii_z_ex1_data, overwrite = FALSE)
rm(data)
rm(sii_z_ex1_data)
## sii_z_ex1_structure , edge- and fillcolors============================ =====
## read data from xls==== =====
readdata <- readxl::read_xlsx(path = "_data_helperfiles/preparingtables.xlsx",
sheet = "ex1_struct_and_colors",
col_types = c(rep("text", 8)))
readdata
## struct =============== =====
dataset <- dplyr::select(readdata,
description = description_eng,
level,
childlevel)
dataset <- dataset[!is.na(dataset$description), ]
sii_z_ex1_structure <- dataset
# sii_z_ex1_structure
usethis::use_data(sii_z_ex1_structure, overwrite = FALSE)
rm(sii_z_ex1_structure) ; rm(dataset)
## color fill =========== =====
dataset <- dplyr::select(readdata,
description = description_color_eng,
colorset = fill)
dataset <- dataset[!is.na(dataset$colorset), ]
colorset <- paste0("#",dataset$colorset)
names(colorset) <- dataset$description
sii_z_ex1_fillcolors <- colorset
# sii_z_ex1_fillcolors
usethis::use_data(sii_z_ex1_fillcolors, overwrite = FALSE)
rm(sii_z_ex1_fillcolors) ; rm(dataset); rm(colorset)
## color edge =========== =====
dataset <- dplyr::select(readdata,
description=description_color_eng,
colorset = edge)
dataset <- dataset[!is.na(dataset$colorset), ]
colorset <- paste0("#",dataset$colorset)
names(colorset) <- dataset$description
sii_z_ex1_edgecolors <- colorset
# sii_z_ex1_edgecolors
usethis::use_data(sii_z_ex1_edgecolors, overwrite = FALSE)
rm(sii_z_ex1_edgecolors) ; rm(dataset); rm(colorset)
## last cleanup ========= =====
rm(readdata)
## sii_z_ex1_plotdetails ================================================ =====
data <- readxl::read_xlsx(path = "_data_helperfiles/preparingtables.xlsx",
sheet = "ex1_plotdetails")
data$levelordescription <- as.character(data$levelordescription)
data$surface <- as.logical(data$surface)
data$outline1 <- as.logical(data$outline1)
data$outline2 <- as.logical(data$outline2)
data$outline3 <- as.logical(data$outline3)
data$outline4 <- as.logical(data$outline4)
data$outline11 <- as.logical(data$outline11)
data$outline13 <- as.logical(data$outline13)
sii_z_ex1_plotdetails <- as.data.frame(data)
# sii_z_ex1_plotdetails
usethis::use_data(sii_z_ex1_plotdetails, overwrite = FALSE)
## test for tidyverse transformation for outline
testdata <- dplyr::select(sii_z_ex1_plotdetails, - surface)
testdata <- tidyr::gather(data = testdata, key = outlinetype, value = draw, -levelordescription)
rm(data)
rm(testdata)
rm(sii_z_ex1_plotdetails)
## sii_z_ex1_plotdetails2================================================ =====
data <- readxl::read_xlsx(path = "_data_helperfiles/preparingtables.xlsx",
sheet = "ex1_plotdetails2")
data$levelordescription <- as.character(data$levelordescription)
data$surface <- as.logical(data$surface)
data$outline1 <- as.logical(data$outline1)
data$outline2 <- as.logical(data$outline2)
data$outline3 <- as.logical(data$outline3)
data$outline4 <- as.logical(data$outline4)
data$outline11 <- as.logical(data$outline11)
data$outline13 <- as.logical(data$outline13)
sii_z_ex1_plotdetails2 <- as.data.frame(data)
sii_z_ex1_plotdetails2
usethis::use_data(sii_z_ex1_plotdetails2, overwrite = FALSE)
## test for tidyverse transformation for outline
testdata <- dplyr::select(sii_z_ex1_plotdetails2, - surface)
testdata <- tidyr::gather(data = testdata, key = outlinetype, value = draw, -levelordescription)
rm(data)
rm(testdata)
rm(sii_z_ex1_plotdetails2)
## sii_z_ex1_levelmax =================================================== =====
data <- readxl::read_xlsx(path = "_data_helperfiles/preparingtables.xlsx",
sheet = "ex1_levelmax")
sii_z_ex1_levelmax <- data.frame(
level = as.character(data$level),
levelmax = as.numeric(data$levelmax)
)
# sii_z_ex1_levelmax
usethis::use_data(sii_z_ex1_levelmax, overwrite = FALSE)
rm(data)
rm(sii_z_ex1_levelmax)
## e x a m p l e 2 ==================================================== =====
## sii_z_ex2_data ======================================================= =====
data <- readxl::read_xlsx(path = "_data_helperfiles/preparingtables.xlsx",
sheet = "ex2_data")
data <- tidyr::gather(data,
key = description,
value = value,
-id, -time, -ratio)
sii_z_ex2_data <- data.frame(
time = as.numeric(data$time),
ratio = as.numeric(data$ratio),
description = data$description, # it has to be a factor !!
value = as.numeric(data$value),
id = data$id #,
# comparewithid = data$comparewithid
)
# sii_z_ex2_data
usethis::use_data(sii_z_ex2_data, overwrite = FALSE)
rm(data)
rm(sii_z_ex2_data)
## e x a m p l e 3 ==================================================== =====
## sii_z_ex3_data ======================================================= =====
data <- readxl::read_xlsx(path = "_data_helperfiles/preparingtables.xlsx",
sheet = "ex3_data")
data <- tidyr::gather(data,
key = description,
value = value,
-id, -time, -ratio, -comparewithid)
sii_z_ex3_data <- data.frame(
time = as.numeric(data$time),
ratio = as.numeric(data$ratio),
description = data$description, # it has to be a factor !!
value = as.numeric(data$value),
id = data$id,
comparewithid = data$comparewithid
)
# sii_z_ex3_data
usethis::use_data(sii_z_ex3_data, overwrite = FALSE)
rm(data)
rm(sii_z_ex3_data)
## sii_z_ex3_plotdetails ================================================ =====
data <- readxl::read_xlsx(path = "_data_helperfiles/preparingtables.xlsx",
sheet = "ex3_plotdetails")
data$levelordescription <- as.character(data$levelordescription)
data$surface <- as.logical(data$surface)
data$outline1 <- as.logical(data$outline1)
data$outline2 <- as.logical(data$outline2)
data$outline3 <- as.logical(data$outline3)
data$outline4 <- as.logical(data$outline4)
data$outline11 <- as.logical(data$outline11)
data$outline13 <- as.logical(data$outline13)
sii_z_ex3_plotdetails <- as.data.frame(data)
# sii_z_ex3_plotdetails
usethis::use_data(sii_z_ex3_plotdetails, overwrite = FALSE)
## test for tidyverse transformation for outline
testdata <- dplyr::select(sii_z_ex3_plotdetails, - surface)
testdata <- tidyr::gather(data = testdata, key = outlinetype, value = draw, -levelordescription)
rm(data)
rm(testdata)
rm(sii_z_ex3_plotdetails)
## e x a m p l e 4 ==================================================== =====
## sii_z_ex4_structure ================================================== =====
sii_z_ex4_structure <- readxl::read_xlsx(path = "_data_helperfiles/preparingtables.xlsx",
sheet = "ex4_struct",
col_types = c(rep("text", 3),
rep("skip", 2)))
# sii_z_ex4_structure
usethis::use_data(sii_z_ex4_structure, overwrite = FALSE)
rm(sii_z_ex4_structure)
## sii_z_ex4_data ======================================================= =====
data <- readxl::read_xlsx(path = "_data_helperfiles/preparingtables.xlsx",
sheet = "ex4_data")
data <- tidyr::gather(data,
key = description,
value = value,
-id, -time, -ratio, -comparewithid)
sii_z_ex4_data <- data.frame(
time = as.numeric(data$time),
ratio = as.numeric(data$ratio),
description = data$description, # it has to be a factor !!
value = as.numeric(data$value),
id = data$id,
comparewithid = data$comparewithid
)
# sii_z_ex4_data
usethis::use_data(sii_z_ex4_data, overwrite = FALSE)
rm(data)
rm(sii_z_ex4_data)
## sii_z_ex4_levelmax =================================================== =====
data <- readxl::read_xlsx(path = "_data_helperfiles/preparingtables.xlsx",
sheet = "ex4_levelmax")
sii_z_ex4_levelmax <- data.frame(
level = as.character(data$level),
levelmax = as.numeric(data$levelmax)
)
# sii_z_ex4_levelmax
usethis::use_data(sii_z_ex4_levelmax, overwrite = FALSE)
rm(data)
rm(sii_z_ex4_levelmax)
## e x a m p l e 5 ==================================================== =====
##
## as of now redundant
## e x a m p l e 6 ==================================================== =====
## sii_z_ex6_structure , edge- and fillcolors============================ =====
## read data from xls==== =====
readdata <- readxl::read_xlsx(path = "_data_helperfiles/preparingtables.xlsx",
sheet = "ex6_struct_and_colors",
col_types = c(rep("text", 8)))
readdata
## struct eng =========== =====
dataset <- dplyr::select(readdata,
description = description_eng,
level,
childlevel)
dataset <- dataset[!is.na(dataset$description), ]
sii_z_ex6_structure <- dataset
sii_z_ex6_structure
usethis::use_data(sii_z_ex6_structure, overwrite = FALSE)
rm(sii_z_ex6_structure) ; rm(dataset)
## color fill eng ======= =====
dataset <- dplyr::select(readdata,
description = description_color_eng,
colorset = fill)
dataset <- dataset[!is.na(dataset$colorset), ]
colorset <- paste0("#",dataset$colorset)
names(colorset) <- dataset$description
sii_z_ex6_fillcolors <- colorset
# sii_z_ex6_fillcolors
usethis::use_data(sii_z_ex6_fillcolors, overwrite = FALSE)
rm(sii_z_ex6_fillcolors) ; rm(dataset); rm(colorset)
## color edge eng ======= =====
dataset <- dplyr::select(readdata,
description=description_color_eng,
colorset = edge)
dataset <- dataset[!is.na(dataset$colorset), ]
colorset <- paste0("#",dataset$colorset)
names(colorset) <- dataset$description
sii_z_ex6_edgecolors <- colorset
# sii_z_ex6_edgecolors
usethis::use_data(sii_z_ex6_edgecolors, overwrite = FALSE)
rm(sii_z_ex6_edgecolors) ; rm(dataset); rm(colorset)
## last cleanup ========= =====
rm(readdata)
## sii_z_ex6_data ======================================================= =====
data <- readxl::read_xlsx(path = "_data_helperfiles/preparingtables.xlsx",
sheet = "ex6_data")
data <- tidyr::gather(data,
key = description,
value = value,
-id, -time, -ratio, -comparewithid)
sii_z_ex6_data <- data.frame(
time = as.numeric(data$time),
ratio = as.numeric(data$ratio),
description = data$description, # it has to be a factor !!
value = as.numeric(data$value),
id = data$id,
comparewithid = data$comparewithid
)
# sii_z_ex6_data
usethis::use_data(sii_z_ex6_data, overwrite = FALSE)
rm(data)
rm(sii_z_ex6_data)
## sii_z_ex6_data2 ====================================================== =====
data <- readxl::read_xlsx(path = "_data_helperfiles/preparingtables.xlsx",
sheet = "ex6_data_adapted")
data <- tidyr::gather(data,
key = description,
value = value,
-id, -time, -ratio, -comparewithid)
sii_z_ex6_data2 <- data.frame(
time = as.numeric(data$time),
ratio = as.numeric(data$ratio),
description = data$description, # it has to be a factor !!
value = as.numeric(data$value),
id = data$id,
comparewithid = data$comparewithid
)
# sii_z_ex6_data2
usethis::use_data(sii_z_ex6_data2, overwrite = FALSE)
rm(data)
rm(sii_z_ex6_data2)
## sii_z_ex6_levelmax =================================================== =====
data <- readxl::read_xlsx(path = "_data_helperfiles/preparingtables.xlsx",
sheet = "ex6_levelmax")
sii_z_ex6_levelmax <- data.frame(
level = as.character(data$level),
levelmax = as.numeric(data$levelmax)
)
# sii_z_ex6_levelmax
usethis::use_data(sii_z_ex6_levelmax, overwrite = FALSE)
rm(data)
rm(sii_z_ex6_levelmax)
## sii_z_ex6_plotdetails ================================================ =====
data <- readxl::read_xlsx(path = "_data_helperfiles/preparingtables.xlsx",
sheet = "ex6_plotdetails")
data$levelordescription <- as.character(data$levelordescription)
data$surface <- as.logical(data$surface)
data$outline1 <- as.logical(data$outline1)
data$outline2 <- as.logical(data$outline2)
data$outline3 <- as.logical(data$outline3)
data$outline4 <- as.logical(data$outline4)
data$outline11 <- as.logical(data$outline11)
data$outline13 <- as.logical(data$outline13)
sii_z_ex6_plotdetails <- as.data.frame(data)
# sii_z_ex6_plotdetails
usethis::use_data(sii_z_ex6_plotdetails, overwrite = FALSE)
## test for tidyverse transformation for outline
testdata <- dplyr::select(sii_z_ex6_plotdetails, - surface)
testdata <- tidyr::gather(data = testdata, key = outlinetype, value = draw, -levelordescription)
rm(data)
rm(testdata)
rm(sii_z_ex6_plotdetails)
## e x a m p l e 7 ==================================================== =====
## sii_z_ex7_data ======================================================= =====
data <- readxl::read_xlsx(path = "_data_helperfiles/preparingtables.xlsx",
sheet = "ex7_data")
data <- tidyr::gather(data,
key = description,
value = waarde,
-id, -tijd, -ratio, -vergelijkmet)
sii_z_ex7_data <- data.frame(
tijd = as.numeric(data$tijd),
ratio = as.numeric(data$ratio),
description = data$description, # it has to be a factor !!
waarde = as.numeric(data$waarde),
id = data$id,
vergelijkmet = data$vergelijkmet
)
# sii_z_ex7_data
usethis::use_data(sii_z_ex7_data, overwrite = FALSE)
rm(data)
rm(sii_z_ex7_data)
## sii_z_ex7_plotdetails ================================================ =====
data <- readxl::read_xlsx(path = "_data_helperfiles/preparingtables.xlsx",
sheet = "ex7_plotdetails")
data$levelordescription <- as.character(data$levelordescription)
data$surface <- as.logical(data$surface)
data$outline1 <- as.logical(data$outline1)
data$outline2 <- as.logical(data$outline2)
data$outline3 <- as.logical(data$outline3)
data$outline4 <- as.logical(data$outline4)
data$outline11 <- as.logical(data$outline11)
data$outline13 <- as.logical(data$outline13)
sii_z_ex7_plotdetails <- as.data.frame(data)
# sii_z_ex7_plotdetails
usethis::use_data(sii_z_ex7_plotdetails, overwrite = FALSE)
## test for tidyverse transformation for outline
testdata <- dplyr::select(sii_z_ex7_plotdetails, - surface)
testdata <- tidyr::gather(data = testdata, key = outlinetype, value = draw, -levelordescription)
rm(data)
rm(testdata)
rm(sii_z_ex7_plotdetails)
## ====================================================================== ===
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