Description Usage Arguments See Also Examples
A method for recovering a data.frame
out of summarized data, i.e. contingency table or aggregated data.
1 2 3 4 5 6 7 8 |
x |
the table object as a data.frame, table, or, matrix. |
freq |
the column name of count values. |
row.names |
row names to add to |
dimnames |
set the dimnames of object if required. |
type |
the type of variable. If NULL, ordered factor is returned. |
col.names |
column names to add to the data.frame. |
... |
Extra parameters ignored. |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | gss <- data.frame(
expand.grid(sex=c("female", "male"),
party=c("dem", "indep", "rep")),
count=c(279,165,73,47,225,191))
print(gss) # aggregated data.frame
# Then expand it:
GSS <- Untable(gss, freq="count")
head(GSS)
# Expand from a table or xtable object:
# Fisher's Tea-Tasting Experiment data
tea <- table(poured=c("Yes", "Yes", "Yes", "No","Yes","No", "No", "No"),
guess=c("Yes", "Yes", "Yes", "Yes", "No", "No","No","No"))
Untable(tea)
# Expand with a vector of weights
Untable(c(3,3,3), dimnames=list(c("Brazil","Colombia","Argentina")))
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