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What is the distance in the matchit output?
Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 23, 2019 at 23:30 UTC (7:30pm US/Eastern)
Data science time! April 2019 and salary with experience
The Ask Question Wizard is Live!What are the differences between “=” and “<-” in R?Grouping functions (tapply, by, aggregate) and the *apply familyWhat is the difference between require() and library()?How to make a great R reproducible exampleHow to pair socks from a pile efficiently?R package MatchIt erroneous summary outputFormula for standardized differences in MatchIT?How Interpret the output of propensity matching(matchIT) in RObtaining distance matrix from MatchIt packager MatchIt output: cannot see first output showing mean match data
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Does anybody know what is the distance in the output of matchit()?
Distance between what and what?
r matching
asked Mar 9 at 0:52
No LieNo Lie
1088
add a comment |
Does anybody know what is the distance in the output of matchit()?
Distance between what and what?
r matching
asked Mar 9 at 0:52
No LieNo Lie
1088
Maybe this helps (from the documentation): r.iq.harvard.edu/docs/matchit/2.4-20/…
– alessio
Mar 10 at 0:47
Thank you very much, I have read that. It does not explain it is distance between what and what! I have one treat unit and 3 control units matched to it, and each one has a distance associated with it. So, it cannot be the distance between the treated and control units.
– No Lie
Mar 11 at 16:28
add a comment |
Does anybody know what is the distance in the output of matchit()?
Distance between what and what?
r matching
asked Mar 9 at 0:52
No LieNo Lie
1088
Does anybody know what is the distance in the output of matchit()?
Distance between what and what?
r matching
r matching
asked Mar 9 at 0:52
No LieNo Lie
1088
asked Mar 9 at 0:52
No LieNo Lie
1088
asked Mar 9 at 0:52
No LieNo Lie
1088
asked Mar 9 at 0:52
No LieNo Lie
1088
asked Mar 9 at 0:52
No LieNo Lie
1088
1088
Maybe this helps (from the documentation): r.iq.harvard.edu/docs/matchit/2.4-20/…
– alessio
Mar 10 at 0:47
Thank you very much, I have read that. It does not explain it is distance between what and what! I have one treat unit and 3 control units matched to it, and each one has a distance associated with it. So, it cannot be the distance between the treated and control units.
– No Lie
Mar 11 at 16:28
add a comment |
Maybe this helps (from the documentation): r.iq.harvard.edu/docs/matchit/2.4-20/…
– alessio
Mar 10 at 0:47
Thank you very much, I have read that. It does not explain it is distance between what and what! I have one treat unit and 3 control units matched to it, and each one has a distance associated with it. So, it cannot be the distance between the treated and control units.
– No Lie
Mar 11 at 16:28
Maybe this helps (from the documentation): r.iq.harvard.edu/docs/matchit/2.4-20/…
– alessio
Mar 10 at 0:47
Maybe this helps (from the documentation): r.iq.harvard.edu/docs/matchit/2.4-20/…
– alessio
Mar 10 at 0:47
Thank you very much, I have read that. It does not explain it is distance between what and what! I have one treat unit and 3 control units matched to it, and each one has a distance associated with it. So, it cannot be the distance between the treated and control units.
– No Lie
Mar 11 at 16:28
Thank you very much, I have read that. It does not explain it is distance between what and what! I have one treat unit and 3 control units matched to it, and each one has a distance associated with it. So, it cannot be the distance between the treated and control units.
– No Lie
Mar 11 at 16:28
add a comment |
1 Answer
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oldest
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In general, it's the distance metric used for matching. The difference between the distance metrics for a pair of individuals is the distance between them. The default is the estimated propensity score for each unit. You can set the value of the distance using the distance option. You can also provide your own distance metric. For example, if you wanted to match on a different variable, such as age, you could create an age variable and set distance = age. For Mahalanobis distance matching, no individual receives a single distance metric because the distance between two units is computed using a formula, so none will be in the output.
answered Apr 6 at 5:41
NoahNoah
670213
add a comment |
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In general, it's the distance metric used for matching. The difference between the distance metrics for a pair of individuals is the distance between them. The default is the estimated propensity score for each unit. You can set the value of the distance using the distance option. You can also provide your own distance metric. For example, if you wanted to match on a different variable, such as age, you could create an age variable and set distance = age. For Mahalanobis distance matching, no individual receives a single distance metric because the distance between two units is computed using a formula, so none will be in the output.
answered Apr 6 at 5:41
NoahNoah
670213
add a comment |
In general, it's the distance metric used for matching. The difference between the distance metrics for a pair of individuals is the distance between them. The default is the estimated propensity score for each unit. You can set the value of the distance using the distance option. You can also provide your own distance metric. For example, if you wanted to match on a different variable, such as age, you could create an age variable and set distance = age. For Mahalanobis distance matching, no individual receives a single distance metric because the distance between two units is computed using a formula, so none will be in the output.
answered Apr 6 at 5:41
NoahNoah
670213
add a comment |
In general, it's the distance metric used for matching. The difference between the distance metrics for a pair of individuals is the distance between them. The default is the estimated propensity score for each unit. You can set the value of the distance using the distance option. You can also provide your own distance metric. For example, if you wanted to match on a different variable, such as age, you could create an age variable and set distance = age. For Mahalanobis distance matching, no individual receives a single distance metric because the distance between two units is computed using a formula, so none will be in the output.
answered Apr 6 at 5:41
NoahNoah
670213
In general, it's the distance metric used for matching. The difference between the distance metrics for a pair of individuals is the distance between them. The default is the estimated propensity score for each unit. You can set the value of the distance using the distance option. You can also provide your own distance metric. For example, if you wanted to match on a different variable, such as age, you could create an age variable and set distance = age. For Mahalanobis distance matching, no individual receives a single distance metric because the distance between two units is computed using a formula, so none will be in the output.
answered Apr 6 at 5:41
NoahNoah
670213
answered Apr 6 at 5:41
NoahNoah
670213
answered Apr 6 at 5:41
NoahNoah
670213
answered Apr 6 at 5:41
NoahNoah
670213
670213
add a comment |
add a comment |
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Maybe this helps (from the documentation): r.iq.harvard.edu/docs/matchit/2.4-20/…
– alessio
Mar 10 at 0:47
Thank you very much, I have read that. It does not explain it is distance between what and what! I have one treat unit and 3 control units matched to it, and each one has a distance associated with it. So, it cannot be the distance between the treated and control units.
– No Lie
Mar 11 at 16:28