EconDat: R6 Class for storing economic data used in the OFPE...
In paulhegedus/OFPE: On-Farm Precision Experiments (OFPE) Data Management and Analysis Tools
EconDat R Documentation
R6 Class for storing economic data used in the OFPE simulation
Description
R6 class for for storing economic data that is used in the
simulation and prescription building steps of the OFPE data cycle. This
class has methods for gathering economic data or using the default economic
data on prices received for conventional and organic winter wheat, the
cost of nitrogen, and fixed costs. The default data is gathered from 2000-2021
from MSU for prices and USDA ERS for fixed costs. This class also can receive data to model
protein premiums/dockages or uses the default data from the Billings, MT
grain elevator in 2016 or 2021. Both have a base protein of 11.5% where
the 2016 premium/dockages range from 7-15% protein with a 15 cent premium per half,
while 2021 premium/dockages range from 9.5-14% protein with a 2 cent premium and 8 cent dockage per half.
Thes user has the option of providing their own data to use for the simulation
that feeds into the prescription generation in order to simulate a specific
economic conditions. To specify the protein premium and dockage function, the
user must supply a data frame with a column name 'pro' with the protein level
and a column named 'PremDock' with the premium(+)/dockage(-) price. To specify
the economic conditions to simulate, the user must supply a data frame with a
column indicating the year, named 'Year', a column named 'org' for the price
received per bushel for the crop grown organically , a column named 'conv' for
the price received per bushel for a conventionally grown crop, and a column named
'cost' with the cost per pound of the user's seed or nitrogen fertilizer.
This class also stores the coefficients from the protein premium/dockage
model derived from the protein premium/dockage data, and user supplied
inputs for the cost of site-specific technology, and the fixed ownership
costs per acre related to production, not including the cost of the input.
This class, like all other 'inputs' classes, gives the user the option of supplying
their own parameter selections or to use an interactive method to select parameter
values and options. Like all other 'inputs' classes, it is recommended that the user
uses the interactive selection method unless providing their own economic and premium/
dockage data.
Public fields
FCOptional. Fixed costs ($/acre) associated with production, not including
the input of interest. This includes things like the cost of labor, fuel, etc. If
this parameter is not supplied the fixed costs in the Prc data frame is used,
otherwise the provided FC value here overwrites all FC values in the Prc data frame.
Providing this parameter keeps FC constant in the economic simulation.
ssACThe cost ($/acre) of using site-specific technology or variable rate
applications. For farmers that have variable rate technology this cost may be zero,
otherwise is the cost per acre to hire the equipment/operators with variable rate
technology.
PrcData frame containing information on the prices received for the crop
and the cost of nitrogen. The user has the option to specify the economic
conditions to simulate by supplying a data frame with a column indicating
the year, named 'Year', a column named 'org' for the price received per bushel for
the crop grown organically , a column named 'conv' for the price received per bushel
for a conventionally grown crop, and a column named 'cost' with the cost per pound of
the user's seed or nitrogen fertilizer. Alternatively, the user can elect to use
the default economic conditions gathered from the Billings, MT elevator that conatin
data from 2000 - 2016 on the price received for organic and conventionally grown hard
red winter wheat and the cost of nitrogen fertilizer. This option can be accessed
with the interactive selection method or by passing in 'Default' to this parameter.
PDData frame containing information on the protein premium/dockage received
for the user's crop. To specify the protein premium and dockage function, the
user must supply a data frame with a column name 'pro' with the protein level
and a column named 'PremDock' with the premium(+)/dockage(-) price. Alternatively,
the user can elect to use the default premium/dockage data gathered from the Billings,
MT elevator in 2021.
B0pdIntercept for the protein premium/dockage model fit to protein premium/dockage
data. Used to calculate estimated net-return based off of predicted protein in the OFPE
Monte Carlo simulation.
B1pdCoefficient for observed protein in the protein premium/dockage model fit to
protein premium/dockage data. Used to calculate estimated net-return based off of predicted
protein in the OFPE Monte Carlo simulation.
B2pdCoefficient for the squared protein term in the protein premium/dockage model fit
to protein premium/dockage data. Used to calculate estimated net-return based off of predicted
protein in the OFPE Monte Carlo simulation.
B3pdCoefficient for the cubed protein term in the protein premium/dockage model fit
to protein premium/dockage data. Used to calculate estimated net-return based off of predicted
protein in the OFPE Monte Carlo simulation.
Methods
Public methods
Method new()
Usage
EconDat$new(FC = NULL, ssAC = 0, Prc = NULL, PD = NULL)
Arguments
FCFixed costs ($/acre) associated with production, not including the input of
interest. This includes things like the cost of labor, fuel, etc.
ssACThe cost ($/acre) of using site-specific technology or variable rate
applications. For farmers that have variable rate technology this cost may be zero,
otherwise is the cost per acre to hire the equipment/operators with variable rate
technology.
PrcData frame containing information on the prices received for the crop
and the cost of nitrogen. The user has the option to specify the economic
conditions to simulate by supplying a data frame with a column indicating
the year, named 'Year', a column named 'org' for the price received per bushel for
the crop grown organically , a column named 'conv' for the price received per bushel
for a conventionally grown crop, and a column named 'cost' with the cost per pound of
the user's seed or nitrogen fertilizer. Alternatively, the user can elect to use
the default economic conditions gathered from the MSU and USDA that conatin
data from 2000 - 2021 on the price received for organic and conventionally grown hard
red winter wheat, the cost of nitrogen fertilizer, and fixed costs. This option can be accessed
with the interactive selection method or by passing in 'Default' to this parameter.
PDData frame containing information on the protein premium/dockage received
for the user's crop. To specify the protein premium and dockage function, the
user must supply a data frame with a column name 'pro' with the protein level
and a column named 'PremDock' with the premium(+)/dockage(-) price. Alternatively,
the user can elect to use the default premium/dockage data gathered from the Billings,
MT elevator in 2016 or 2021. This option can be accessed with the interactive selection method
or by passing in '2016' or '2021' to this parameter.
Returns
A new 'EconDat' object.
Method selectInputs()
Interactive method for selecting inputs related to the economic data
and conditions of the Monte Carlo simulation. The user will be able
to provide their inputs for the fixed costs per acre (FC) associated
with production not including the experimental input. They also can
input their costs associated with site-specific application of their
experimental input (ssAC).
The user will be asked whether they would like to use the default
economic conditions. The user can elect to use the default economic
conditions gathered from the Billings, MT elevator that contain
data from 2000 - 2016 on the price received for organic and
conventionally grown hard red winter wheat and the cost of nitrogen
fertilizer. ... Alternatively, the user will have the option of selecting
from a tool that scrapes economic data from the web (in progress) ...
However, if the user is interested in specific economic conditions or
is analyzing data of a crop that is not hard red winter wheat or an
experimental variable that is not nitrogen fertilizer, the user must
supply their own data.frame in the initialization process.
Finally, the user will be asked whether they would like to use the default
protein premium/dockage conditions. The user can elect to use the default
data gathered from the Billings, MT elevator from 2016, or elect to forgo
this input if not optimizing on protein data. However, if the user is interested
in specific premium/dockage conditions or is analyzing data of a crop
that is not hard red winter wheat, the user must supply their own data.frame
in the initialization process.
Usage
EconDat$selectInputs()
Arguments
NoneNo arguments needed because passed in during class
instantiation.
Returns
A completed 'EconDat' object.
Method clone()
The objects of this class are cloneable with this method.
Usage
EconDat$clone(deep = FALSE)
Arguments
deepWhether to make a deep clone.
See Also
DBCon for database connection class,
SimClass for simulation class that rely on data in EconDat.
paulhegedus/OFPE documentation built on Nov. 23, 2022, 5:09 a.m.
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| EconDat | R Documentation |
R6 Class for storing economic data used in the OFPE simulation
Description
R6 class for for storing economic data that is used in the simulation and prescription building steps of the OFPE data cycle. This class has methods for gathering economic data or using the default economic data on prices received for conventional and organic winter wheat, the cost of nitrogen, and fixed costs. The default data is gathered from 2000-2021 from MSU for prices and USDA ERS for fixed costs. This class also can receive data to model protein premiums/dockages or uses the default data from the Billings, MT grain elevator in 2016 or 2021. Both have a base protein of 11.5% where the 2016 premium/dockages range from 7-15% protein with a 15 cent premium per half, while 2021 premium/dockages range from 9.5-14% protein with a 2 cent premium and 8 cent dockage per half.
Thes user has the option of providing their own data to use for the simulation that feeds into the prescription generation in order to simulate a specific economic conditions. To specify the protein premium and dockage function, the user must supply a data frame with a column name 'pro' with the protein level and a column named 'PremDock' with the premium(+)/dockage(-) price. To specify the economic conditions to simulate, the user must supply a data frame with a column indicating the year, named 'Year', a column named 'org' for the price received per bushel for the crop grown organically , a column named 'conv' for the price received per bushel for a conventionally grown crop, and a column named 'cost' with the cost per pound of the user's seed or nitrogen fertilizer.
This class also stores the coefficients from the protein premium/dockage model derived from the protein premium/dockage data, and user supplied inputs for the cost of site-specific technology, and the fixed ownership costs per acre related to production, not including the cost of the input.
This class, like all other 'inputs' classes, gives the user the option of supplying their own parameter selections or to use an interactive method to select parameter values and options. Like all other 'inputs' classes, it is recommended that the user uses the interactive selection method unless providing their own economic and premium/ dockage data.
Public fields
FCOptional. Fixed costs ($/acre) associated with production, not including the input of interest. This includes things like the cost of labor, fuel, etc. If this parameter is not supplied the fixed costs in the Prc data frame is used, otherwise the provided FC value here overwrites all FC values in the Prc data frame. Providing this parameter keeps FC constant in the economic simulation.
ssACThe cost ($/acre) of using site-specific technology or variable rate applications. For farmers that have variable rate technology this cost may be zero, otherwise is the cost per acre to hire the equipment/operators with variable rate technology.
PrcData frame containing information on the prices received for the crop and the cost of nitrogen. The user has the option to specify the economic conditions to simulate by supplying a data frame with a column indicating the year, named 'Year', a column named 'org' for the price received per bushel for the crop grown organically , a column named 'conv' for the price received per bushel for a conventionally grown crop, and a column named 'cost' with the cost per pound of the user's seed or nitrogen fertilizer. Alternatively, the user can elect to use the default economic conditions gathered from the Billings, MT elevator that conatin data from 2000 - 2016 on the price received for organic and conventionally grown hard red winter wheat and the cost of nitrogen fertilizer. This option can be accessed with the interactive selection method or by passing in 'Default' to this parameter.
PDData frame containing information on the protein premium/dockage received for the user's crop. To specify the protein premium and dockage function, the user must supply a data frame with a column name 'pro' with the protein level and a column named 'PremDock' with the premium(+)/dockage(-) price. Alternatively, the user can elect to use the default premium/dockage data gathered from the Billings, MT elevator in 2021.
B0pdIntercept for the protein premium/dockage model fit to protein premium/dockage data. Used to calculate estimated net-return based off of predicted protein in the OFPE Monte Carlo simulation.
B1pdCoefficient for observed protein in the protein premium/dockage model fit to protein premium/dockage data. Used to calculate estimated net-return based off of predicted protein in the OFPE Monte Carlo simulation.
B2pdCoefficient for the squared protein term in the protein premium/dockage model fit to protein premium/dockage data. Used to calculate estimated net-return based off of predicted protein in the OFPE Monte Carlo simulation.
B3pdCoefficient for the cubed protein term in the protein premium/dockage model fit to protein premium/dockage data. Used to calculate estimated net-return based off of predicted protein in the OFPE Monte Carlo simulation.
Methods
Public methods
Method new()
Usage
EconDat$new(FC = NULL, ssAC = 0, Prc = NULL, PD = NULL)
Arguments
FCFixed costs ($/acre) associated with production, not including the input of interest. This includes things like the cost of labor, fuel, etc.
ssACThe cost ($/acre) of using site-specific technology or variable rate applications. For farmers that have variable rate technology this cost may be zero, otherwise is the cost per acre to hire the equipment/operators with variable rate technology.
PrcData frame containing information on the prices received for the crop and the cost of nitrogen. The user has the option to specify the economic conditions to simulate by supplying a data frame with a column indicating the year, named 'Year', a column named 'org' for the price received per bushel for the crop grown organically , a column named 'conv' for the price received per bushel for a conventionally grown crop, and a column named 'cost' with the cost per pound of the user's seed or nitrogen fertilizer. Alternatively, the user can elect to use the default economic conditions gathered from the MSU and USDA that conatin data from 2000 - 2021 on the price received for organic and conventionally grown hard red winter wheat, the cost of nitrogen fertilizer, and fixed costs. This option can be accessed with the interactive selection method or by passing in 'Default' to this parameter.
PDData frame containing information on the protein premium/dockage received for the user's crop. To specify the protein premium and dockage function, the user must supply a data frame with a column name 'pro' with the protein level and a column named 'PremDock' with the premium(+)/dockage(-) price. Alternatively, the user can elect to use the default premium/dockage data gathered from the Billings, MT elevator in 2016 or 2021. This option can be accessed with the interactive selection method or by passing in '2016' or '2021' to this parameter.
Returns
A new 'EconDat' object.
Method selectInputs()
Interactive method for selecting inputs related to the economic data and conditions of the Monte Carlo simulation. The user will be able to provide their inputs for the fixed costs per acre (FC) associated with production not including the experimental input. They also can input their costs associated with site-specific application of their experimental input (ssAC).
The user will be asked whether they would like to use the default economic conditions. The user can elect to use the default economic conditions gathered from the Billings, MT elevator that contain data from 2000 - 2016 on the price received for organic and conventionally grown hard red winter wheat and the cost of nitrogen fertilizer. ... Alternatively, the user will have the option of selecting from a tool that scrapes economic data from the web (in progress) ... However, if the user is interested in specific economic conditions or is analyzing data of a crop that is not hard red winter wheat or an experimental variable that is not nitrogen fertilizer, the user must supply their own data.frame in the initialization process.
Finally, the user will be asked whether they would like to use the default protein premium/dockage conditions. The user can elect to use the default data gathered from the Billings, MT elevator from 2016, or elect to forgo this input if not optimizing on protein data. However, if the user is interested in specific premium/dockage conditions or is analyzing data of a crop that is not hard red winter wheat, the user must supply their own data.frame in the initialization process.
Usage
EconDat$selectInputs()
Arguments
NoneNo arguments needed because passed in during class instantiation.
Returns
A completed 'EconDat' object.
Method clone()
The objects of this class are cloneable with this method.
Usage
EconDat$clone(deep = FALSE)
Arguments
deepWhether to make a deep clone.
See Also
DBCon for database connection class,
SimClass for simulation class that rely on data in EconDat.
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