「Table-related commands in STATA」の版間の差分
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136行目: | 136行目: | ||
==Two-way== | ==Two-way== | ||
===Relation between ''sex'' and ''factorA''=== | ===Relation between ''sex'' and ''factorA''=== | ||
+ | {|class="wikitable" | ||
+ | |- | ||
+ | !table | ||
+ | |[[file:table_sex_factorA.jpg]] | ||
+ | |rowspan="2"|Both creates the same table<br> but '''tabulate''' is better visualized | ||
+ | |- | ||
+ | !tabulate | ||
+ | |[[file:tabulate_sex_factorA.jpg]] | ||
+ | |- | ||
+ | !tabstat | ||
+ | |[[file:tabstat_sex_by(factorA).jpg]] | ||
+ | [[file:tabstat_factorA_by(sex).jpg]] | ||
+ | |rowspan="2"|Both reports mean<br> but '''summarize''' is more detailed;<br>needs '''bysort''' option before the command | ||
+ | |- | ||
+ | !summarize | ||
+ | |[[file:summarize_sex_bysort_factorA.jpg]] | ||
+ | [[file:summarize_factorA_bysort_sex.jpg]] | ||
+ | |} | ||
+ | |||
+ | ===Relation between ''disease'' and ''data1''=== | ||
+ | {|class="wikitable" | ||
+ | |- | ||
+ | !table | ||
+ | |[[file:table_sex_factorA.jpg]] | ||
+ | |rowspan="2"|Both creates the same table<br> but '''tabulate''' is better visualized | ||
+ | |- | ||
+ | !tabulate | ||
+ | |[[file:tabulate_sex_factorA.jpg]] | ||
+ | |- | ||
+ | !tabstat | ||
+ | |[[file:tabstat_sex_by(factorA).jpg]] | ||
+ | |rowspan="2"|Both reports mean<br> but '''summarize''' is more detailed;<br>needs '''bysort''' option before the command | ||
+ | |- | ||
+ | !summarize | ||
+ | |[[file:summarize_sex_bysort_factorA.jpg]] | ||
+ | |} |
2023年4月2日 (日) 17:35時点における版
目次
Abbreviations of commands
table | (no abbv.) |
---|---|
tabulate | ta tab |
tabstat | (no abbv.) |
summarize | su |
Differences between table, tabulate, tabstat, summarize
one-way | two-way | options | |
---|---|---|---|
table | table v1 create a one-way table |
table v1 v2 create a two-way table |
,statistics( ) |
tabulate | tabulate v1 create a one-way table |
tabulate v1 v2 create a two-way table |
,chi2 Pearson's chi-squared test; *only for two-way ,summarize(v3) detailed statistics for v3 |
tabstat | tabstat v1 create a one-way table of v1 |
*no two- or multiple-way table | ,statistics( ) ,by(v3) detailed statistics for each of v3 |
summarize | summarize v1 detailed statistics of v1 |
*no two- or multiple-way summary | ,detail |
† row = transverse direction, column = longitudinal direction
Sample data
Suppose we have such a dataset in STATA.
One-way
Summary of sex, a binary variable
table | Both reports frequency but tabulate is more detailed | |
---|---|---|
tabulate | ||
tabstat | Both reports mean but summarize is more detailed | |
summarize |
Summary of data1, a continuous variable
table | Both reports frequency of each value, which does not make sense | |
---|---|---|
tabulate | ||
tabstat | Both reports mean but summarize is more detailed | |
summarize |
Summary of SES, a categorical variable
table | Both reports frequency but tabulate is more detailed | |
---|---|---|
tabulate | ||
tabstat | Both reports mean but summarize is more detailed | |
summarize |
One-way, multiple
Two-way
Relation between sex and factorA
table | Both creates the same table but tabulate is better visualized | |
---|---|---|
tabulate | ||
tabstat | Both reports mean but summarize is more detailed; needs bysort option before the command | |
summarize |
Relation between disease and data1
table | Both creates the same table but tabulate is better visualized | |
---|---|---|
tabulate | ||
tabstat | Both reports mean but summarize is more detailed; needs bysort option before the command | |
summarize |