Package index • quitte

All functions

ISOyear(): speedily converting years to POSIXct values
add_countrycode() add_countrycode_(): Add country code
aggregate_map(): Aggregates or disaggregates a data frame
bin_distribute() bin_distribute_sizes(): Distribute into Equal Bins
calcAddVariable(): Calculate new variable
calcCumulatedDiscount(): Calculates the cumulated discounted time series
calcDecompEff() calcDecompEff_scen(): Decomposes a change in a variable based on the changes of its factors (Kaya-like)
calcMitigationCost(): Calculate mitigation costs
calc_addVariable() calc_addVariable_(): Calculate new variables
calc_growthrate(): Calculates the growth rate in '%/yr' for variables
calc_mode(): Calculate the mode of a sample
calc_quantiles() calc_quantiles_(): Sample Quantiles
cartesian(): Generate Cartesian Product from Vectors
character.data.frame() character.data.frame_(): Changes factor columns of a data frame into character columns
check_quitte(): Check IAMC-style data frame for inconsistencies.
chooseFilter(): Allows to interactively filter data from quitte object
df.2.named.vector(): Data frame to named vector
df.as.list(): Data Frame as List
df_populate_range(): Populate Data With Sequence Along Range
df_variation(): Data Frame Variation
duplicate() duplicate_(): Duplicate rows
escape_cntrl(): Escape Control Characters
factor.data.frame() factor.data.frame_(): (Re-) Factorise factor and character columns in data frame
factorise(): Factorise
getColValues(): Retrieves values from one column of a quitte object
getModels(): Retrieves models from a quitte object
getPeriods(): Retrieves periods from a quitte object
getRegs(): Retrieves regions from a quitte object
getScenarios(): Retrieves scenarios from a quitte object
getVars(): Retrieves variable names from a quitte object
gg_colour_hue(): Get n Colours
inline.data.frame(): Convert a vector of stings to a data frame
interpolate_missing_periods() interpolate_missing_periods_(): Interpolate missing periods
list_to_data_frame() list_to_data_frame_(): Convert mapping list to data frame
looks_like_quitte(): Does a data frame match the quitte definition?
madrat_mule(): Madrat Mule
magclass_to_tibble(): Make a Tibble of a Magclass
mif2rds(): MIF2RDS converter
mutate_text(): Uses mutate based on a character vector#'
order.levels() order.levels_(): Order data frame factor levels.
overwrite(): Replace rows in a data frame with new values
pivot_periods() pivot_periods_wider() pivot_periods_longer(): Pivot Data Frame on Periods
prepQuitteForScatter(): selects two variables from a long format Quitte and puts them into a wide format Quitte
as.quitte() is.quitte(): Class "quitte" ~~~
quitte-package quitte: The quitte R package
quitte2quantiles(): calculate quantiles
quitteSort(): Sorts a quitte object in a standardized way: model -> scenario -> variable -> unit -> region -> period
quitte_example_data: quitte example data
quitte_example_dataAR6: quitte example data with three models (REMIND, GCAM, MESSAGEix) and two scenarios (Current Policies, Delayed transition)
read.gdx(): Read item from .gdx file as quitte data frame
read.quitte(): Read IAMC-style .csv or .xlsx files, or object from rds file.
read.snapshot(): Reads IAMC-style .csv or .xlsx files obtained as a IIASA snapshot into a quitte data frame, or data from rds file, allowing to filter the loaded data. If you're using a non-Windows system with head, tail and grep, a pre-filtering improves performance for csv files.
read_mif_header(): Read .mif Header
remind_timesteps: REMIND time steps
removeColNa(): Removes all NA columns of a data frame
replace_column() replace_column_(): Replace data frame column
reportDuplicates(): Checks for duplicates in quitte object
revalue.levels() revalue.levels_(): Revalue data frame factor levels.
seq_range(): Sequence from a Range
setXor(): Set Xor
signif_frac(): Round fractions only
signrange(): Sign Range
ggplot_bar_stacked_dodged() add_stacked_dodged_xpos() calc_stacked_dodged_xlabels(): Stacked and dodged bar plots
strtrimcommon(): Trim common portions from both sides of a vector of strings
sum_total() sum_total_(): Sum over one dimension of a data frame
toolExtractSortScaleQuitte(): prepare data for plots
tribbelise(): Recreate a data frame as a tribble
unique_or_levels(): Unique or levels
unquitte(): Remove quitte class atribute
useWorld(): useWorld
add_timesteps_columns() add_remind_timesteps_columns() ggplot_bar_vts() ggplot_bar_remind_vts(): Bar plots with variable time steps
write.IAMCxlsx(): Write .xlsx file
write.gdx(): Write quitte data frame to a .gdx file
write.mif() write.IAMCcsv(): Write .mif file