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Summarize a continuous dependent(y) variable with three independent(x) variables.
tsum3(d, y, l, u, e=c("Mean", "SD", "N"), h=NULL, ol1="", ol2="", ou="",
rm.dup=TRUE, repl=list(c("length"), c("n")))
a data.frame or matrix with colnames
y variable name. a continuous variable
a vector of two x variable name to be shown on the left side. The length should be 2.
x variable name to be shown on the upper side
a vector of summarize function names
a list of two vectors of summarize function names for the first and second horizontal subgroups. If NULL
, it becomes same to e
argument.
order of levels of 1st left side x variable
order of levels of 2nd left side x variable
order of levels of upper side x variable
if TRUE
, duplicated name of levels are specified on the first occurrence only.
list of strings to replace after summarize. Length of list should be 2, and both should have the same length.
A data.frame of summarized values. Column names are from the levels of u
. Row names are basically from the levels of l
.
A convenient summarization function for a continuous variable with three x varaibles; two on the left side, the other on the upper side.
# NOT RUN {
tsum3(CO2, "uptake", c("Type", "Treatment"), "conc")
tsum3(CO2, "uptake", c("Type", "Treatment"), "conc",
e=c("mean", "median", "sd", "min", "max", "length"),
h=list(c("mean", "sd", "length"), c("mean", "length")),
ol2=c("chilled", "nonchilled"),
repl=list(c("median", "length"), c("med", "n")))
# }
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