| reshape_long | R Documentation |
A simple wrapper for Base R reshape with sensible parameter names and sensible defaults, and able to specify a range of variables to transform.
reshape_long(data, transform, group="Group", response="Response", ID="ID",
prefix=ID, sep="", shape=c("rect", "square"))
data |
Data frame that contains the variables to reshape. |
transform |
The wide-form column variable names to transform to a long-form single column. |
group |
Name of the grouping variable in the new long-form column. |
response |
Name of the variable of the response values in the new long-form column. |
ID |
Name of the newly created ID field in the new long-form
column, the original row number from the wide-form. If |
prefix |
The prefix added to the value of ID for each row of data. |
sep |
Any potential separator of the ID prefix from the given value of the ID. |
shape |
In general, the input data is a rectangular, wide-form data frame. However, it can also be a symmetric, square correlation or covariance matrix. |
reshape_long takes the transform variables in the wide-form from
which it creates three new columns, group, response, and ID.
The correspondence between the original reshape parameter names and the reshape_long parameter names is shown in the following table.
| reshape | reshape_long |
| ----------- | ---------------- |
varying | transform |
v.names | response |
timevar | group |
times | transform |
idvar | ID |
| ----------- | ---------------- |
For a correlation or related symmetric, square input matrix, the applicable parameters are the data parameter to specify the input matrix, group to name the two columns that contain the variable names, and response to specify the name of the variable with data values that are the input correlations or related.
The name entered for group is repeat it for the first two columns output with a suffix of 1 and 2, respectively. For example, group="Item" becomes "Item1" and "Item2". If not name for group is entered, the default variable names are Col and Row.
David W. Gerbing (Portland State University; gerbing@pdx.edu)
reshape.
d <- Read("Anova_rb")
d
# with the default variable names in the long-form
reshape_long(d, c("sup1", "sup2", "sup3", "sup4"))
# with a variable range and custom variable names in the long-form
reshape_long(d, sup1:sup4, group="Supplement", response="Reps", ID="Person")
# input correlation matrix
R <- matrix(nrow=3, ncol=3, byrow=TRUE,
c(1.000,0.480,0.320,
0.480,1.000,0.240,
0.320,0.240,1.000))
colnames(R) <- c("X1", "X2", "X3")
rownames(R) <- colnames(R)
# reshape to long
dl <- reshape_long(R, shape="square", group="Item", response="Cor")
dl
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