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| The '''`label`''' command adds labels to datasets, variables, or values. | '''`-label-`''' manipulates [[Stata/Metadata|metadata]]. |
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=== Datasets === |
To assign a label to a dataset, try: |
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=== Variables === |
To assign a label to a variable, try: |
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=== Values === Value labels are not stored in the dataset itself. To create a new value label and then attach it to a variable, try: |
Value labels are not stored in the dataset itself. To create a new value label and then attach it to a variable, try: |
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| To query the labels, try: | To query these value labels, try: |
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| == Stored Results == `label dir` stores the names of all labels in `r(names)`. `label list` stores the following details: * the number of values with labels, in `r(k)` * the lowest non-missing value with a label, in `r(min)` * the highest non-missing value with a label, in `r(max)` * whether or not (i.e. 1 or 0) labeled missing values (i.e. `.a`) have labels, in `r(hasemiss)` ---- |
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| [[https://www.stata.com/manuals/dlabel.pdf|Stata manual for label]] | [[https://www.stata.com/manuals/dlabel.pdf|Stata manual for -label-]] |
Stata Label
-label- manipulates metadata.
Contents
Usage
To assign a label to a dataset, try:
label data "Raw dataset"
To assign a label to a variable, try:
label variable foo "foo: A variable"
Value labels are not stored in the dataset itself. To create a new value label and then attach it to a variable, try:
label define yesno 1 "Yes" 0 "No" label copy yesno yesno2 label values foo yesno
To query these value labels, try:
label dir label list yesno yesno2
By default, value labels cannot be overwritten. The add option allows new values to be inserted into an existing label. The replace option allows existing values to be overwritten in an existing label. The modify option combines both.
Stored Results
label dir stores the names of all labels in r(names).
label list stores the following details:
the number of values with labels, in r(k)
the lowest non-missing value with a label, in r(min)
the highest non-missing value with a label, in r(max)
whether or not (i.e. 1 or 0) labeled missing values (i.e. .a) have labels, in r(hasemiss)