freqCalc {sdcMicro} | R Documentation |
Fast computation of frequencies (counts) with which is needed for risk estimation.
freqCalc(x, keyVars = 1:3, w = 4)
x |
data frame or matrix |
keyVars |
key variables |
w |
column index of the weight variable. Should be set to NULL if one deal with the whole population. |
The function considers the case of missing values in the data. A missing value stands for any of the possible categories of the variables considered.
Object from class freqCalc.
freqCalc |
data |
keyVars |
keyVars |
w |
index of weight vector. NULL if you do not a sample. |
indexG |
|
fk |
the frequency of equal observations in the key variables subset sample given for each observation. |
Fk |
estimated frequency in the population |
n1 |
amount of observations with fk=1 |
n2 |
amount of observations with fk=2 |
Bernhard Meindl and Matthias Templ
look e.g. in http://neon.vb.cbs.nl/casc/Deliv/12d1.pdf
data(francdat) f <- freqCalc(francdat, keyVars=c(2,4,5,6),w=8) f f$freqCalc f$fk f$Fk ## with missings: x <- francdat x[3,5] <- NA x[4,2] <- x[4,4] <- NA x[5,6] <- NA x[6,2] <- NA f2 <- freqCalc(x, keyVars=c(2,4,5,6),w=8) f2$Fk