kenyachoice: Kenyan farmers’ preferences for agricultural and livelihood...
In gosset: Tools for Data Analysis in Experimental Agriculture
kenyachoice R Documentation
Kenyan farmers’ preferences for agricultural and livelihood practices
Description
Data from a preference experiment in Makueni County, Kenya. Twenty-six
smallholder farmers ordered 9 different livelihood improvement practices
by their personal preference. Full rankings were broken down into
multiple pairwise rankings (kenyachoice[["contests"]]). To each
respondent, a set of nine socio-economic variables is available
(kenyachoice[["predictors"]]).
Usage
kenyachoice
Format
A list with two dataframes. kenyachoice[["contests"]] contains
the pairwise rankings from farmers choices. kenyachoice[["predictors"]]
contains the socioeconomic data for each farmer.
Codes for contests are described:
BOpening a business
DDry planting
GCollective crop marketing
JFinding off-farm job
MMachine tillage
ORenting out traction animals
RMulching
TTerracing
ZZai pits
Source
Steinke, J., et. al. (2019).
Computers and Electronics in Agriculture, 162, 991–1000.
\Sexpr[results=rd]{tools:::Rd_expr_doi("https://doi.org/10.1016/j.compag.2019.05.026")}
gosset documentation built on May 29, 2024, 8:34 a.m.
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| kenyachoice | R Documentation |
Kenyan farmers’ preferences for agricultural and livelihood practices
Description
Data from a preference experiment in Makueni County, Kenya. Twenty-six
smallholder farmers ordered 9 different livelihood improvement practices
by their personal preference. Full rankings were broken down into
multiple pairwise rankings (kenyachoice[["contests"]]). To each
respondent, a set of nine socio-economic variables is available
(kenyachoice[["predictors"]]).
Usage
kenyachoice
Format
A list with two dataframes. kenyachoice[["contests"]] contains
the pairwise rankings from farmers choices. kenyachoice[["predictors"]]
contains the socioeconomic data for each farmer.
Codes for contests are described:
BOpening a business
DDry planting
GCollective crop marketing
JFinding off-farm job
MMachine tillage
ORenting out traction animals
RMulching
TTerracing
ZZai pits
Source
Steinke, J., et. al. (2019). Computers and Electronics in Agriculture, 162, 991–1000. \Sexpr[results=rd]{tools:::Rd_expr_doi("https://doi.org/10.1016/j.compag.2019.05.026")}
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.
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