summary.cotframe {mpitbR} | R Documentation |
Summary function of the estimates of the changes over time measures
Description
Summary function of the estimates of the changes over time measures
Usage
## S3 method for class 'cotframe'
summary(object, ...)
Arguments
object |
the "cotframe"-class object |
... |
other arguments |
Details
The summary
method for "cotframe"-class objects with coefficients, standard
errors and the corresponding t-values and the p-value for a two sided test,
H_0: \beta = 0
being \beta
any measure, with the 'significance stars'.
This method work for only one measure c("M0","H","A","hd","hdk")
and either
relative or absolute measure, either non-annualized and annualized measure and only one
poverty cut-off.
Then, user should subset the data frame to obtain the desired summary.
Value
summary.cotframe a list of summary information for the estimated AF measure
Author(s)
Ignacio Girela
See Also
coef
, and confint
methods, and mpitb.est
function.
Examples
library(mpitbR)
data <- subset(syn_cdta)
data <- na.omit(data)
svydata <- survey::svydesign(id=~psu, weights = ~weight, strata = ~stratum, data = data)
indicators <- list(d1 = c("d_nutr","d_cm"),
d2 = c("d_satt","d_educ"),
d3 = c("d_elct","d_sani","d_wtr","d_hsg","d_ckfl","d_asst"))
# Specify mpitb project
set <- mpitb.set(svydata, indicators = indicators, name = "myname", desc = "pref. desc")
# Estimate the cross-sectional MPI and compare non-annualized changes over time
est <- mpitb.est(set, klist = c(33), measures = "M0", indmeasures = NULL,
tvar = "t", cotmeasures = "M0",
weights = "equal", over = c("area"))
coef(subset(est$lframe, measure == "M0" & t == 1))
confint(subset(est$lframe, measure == "M0" & t == 1))
summary(subset(est$lframe, measure == "M0" & t == 1))
coef(subset(est$cotframe, measure == "M0"))
confint(subset(est$cotframe, measure == "M0"))
summary(subset(est$cotframe, measure == "M0" & ctype == "abs" & ann == 0 & k == 33))
[Package mpitbR version 1.0.0 Index]