scatterPlot {surveyPrev} | R Documentation |
Get scatter plot for any two model results
Description
This function return scatter plot at admin 1 level for any two model results
Usage
scatterPlot(
res1,
value1,
res2,
value2,
label1,
label2,
by.res1,
by.res2,
title
)
Arguments
res1 |
model result 1 using surveyPrev |
value1 |
value1 |
res2 |
model result 2 using surveyPrev |
value2 |
value2 |
label1 |
label for x axis |
label2 |
label for y axis |
by.res1 |
by.res1 |
by.res2 |
by.res2 |
title |
title |
Value
This function returns the dataset that contain district name and population for given tiff files and polygons of admin level
Author(s)
Qianyu Dong
Examples
## Not run:
geo <- getDHSgeo(country = "Zambia", year = 2018)
data(ZambiaAdm1)
data(ZambiaAdm2)
data(ZambiaPopWomen)
cluster.info <- clusterInfo(geo = geo,
poly.adm1 = ZambiaAdm1,
poly.adm2 = ZambiaAdm2)
dhsData <- getDHSdata(country = "Zambia",
indicator = "ancvisit4+",
year = 2018)
data <- getDHSindicator(dhsData, indicator = "ancvisit4+")
admin.info1 <- adminInfo(poly.adm = ZambiaAdm1,
admin = 1,
agg.pop =ZambiaPopWomen$admin1_pop,
proportion = ZambiaPopWomen$admin1_urban)
smth_res_ad1 <- fhModel(data,
cluster.info = cluster.info,
admin.info = admin.info1,
admin = 1,
model = "bym2",
aggregation = F)
admin.info2 <- adminInfo(poly.adm = ZambiaAdm2,
admin = 2,
agg.pop =ZambiaPopWomen$admin2_pop,
proportion = ZambiaPopWomen$admin2_urban)
cl_res_ad2 <- clusterModel(data = data,
cluster.info = cluster.info,
admin.info = admin.info2,
stratification = FALSE,
model = "bym2",
admin = 2,
aggregation = TRUE,
CI = 0.95)
scatterPlot(
res1 = smth_res_ad1,
res2 = cl_res_ad2$agg.admin1,
value1 = "value",
value2 = "value",
by.res1 = "admin1.name",
by.res2 = "admin1.name",
title = "Aggregated cluster model v.s. Fay–Herriot",
label1 = "Fay–Herriot",
label2 = "Aggregated cluster model")
## End(Not run)
[Package surveyPrev version 1.0.0 Index]