R print cutoff values under a certain value
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I am trying to print only values over 1.1 for a factor analysis. I assumed the print command was what I wanted, but the cutoff didnt work.
Reproducible example:
print(c(1,2,3,.5),digits=2,cutoff=1.1,sort=T)
#returns: [1] 1.0 2.0 3.0 0.5
How can I get it to return only value over 1.1?
r
asked May 26 '15 at 20:01
Rilcon42
2,50373162
add a comment |
up vote
0
down vote
favorite
I am trying to print only values over 1.1 for a factor analysis. I assumed the print command was what I wanted, but the cutoff didnt work.
Reproducible example:
print(c(1,2,3,.5),digits=2,cutoff=1.1,sort=T)
#returns: [1] 1.0 2.0 3.0 0.5
How can I get it to return only value over 1.1?
r
asked May 26 '15 at 20:01
Rilcon42
2,50373162
Try something like (assumingnumis your vector)num[num > 1.1]
– DatamineR
May 26 '15 at 20:04
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
I am trying to print only values over 1.1 for a factor analysis. I assumed the print command was what I wanted, but the cutoff didnt work.
Reproducible example:
print(c(1,2,3,.5),digits=2,cutoff=1.1,sort=T)
#returns: [1] 1.0 2.0 3.0 0.5
How can I get it to return only value over 1.1?
r
asked May 26 '15 at 20:01
Rilcon42
2,50373162
I am trying to print only values over 1.1 for a factor analysis. I assumed the print command was what I wanted, but the cutoff didnt work.
Reproducible example:
print(c(1,2,3,.5),digits=2,cutoff=1.1,sort=T)
#returns: [1] 1.0 2.0 3.0 0.5
How can I get it to return only value over 1.1?
r
r
asked May 26 '15 at 20:01
Rilcon42
2,50373162
asked May 26 '15 at 20:01
Rilcon42
2,50373162
asked May 26 '15 at 20:01
Rilcon42
2,50373162
asked May 26 '15 at 20:01
Rilcon42
2,50373162
asked May 26 '15 at 20:01
Rilcon42
2,50373162
2,50373162
Try something like (assumingnumis your vector)num[num > 1.1]
– DatamineR
May 26 '15 at 20:04
add a comment |
Try something like (assumingnumis your vector)num[num > 1.1]
– DatamineR
May 26 '15 at 20:04
Try something like (assuming
num is your vector) num[num > 1.1]– DatamineR
May 26 '15 at 20:04
Try something like (assuming
num is your vector) num[num > 1.1]– DatamineR
May 26 '15 at 20:04
add a comment |
2 Answers
2
active
oldest
votes
up vote
1
down vote
accepted
The print function normally doesn't have cutoff - you are probably looking at a special implementation of print since it is generic, which means it can have different implementations for different data types (see documentation).
To select elements with a criteria, you can do num[criteria], in this case num[num > 1.1] as @DatamineR suggested.
answered May 26 '15 at 20:06
Ziyao Wei
20.1k1267105
Any suggestions for how to remove values within a factor analysis object? I am happy to provide data if needed.
– Rilcon42
May 26 '15 at 20:15
@Rilcon42: Could you try post more code? I'm not really sure what a factor analysis object is, do you mean the things here stat.ethz.ch/R-manual/R-patched/library/stats/html/…?
– Ziyao Wei
May 26 '15 at 20:30
Yep thats it exactly!
– Rilcon42
May 26 '15 at 20:41
Do you intend to extract values from uniqueness? If sof$uniquenesses[f$uniquenesses > 1.1]would work, for other attributes it should be along similar lines. You can post more code if that will help.
– Ziyao Wei
May 26 '15 at 20:47
That was exactly what I needed. Thanks!
– Rilcon42
May 26 '15 at 20:48
|
show 1 more comment
up vote
1
down vote
This is three years too late, but the cutoff command does work in factor analysis:
some factor analysis where i only want loadings larger than 0.3:
print(factanal(df,factoramount)$loadings, cutoff=0.3)
answered Nov 10 at 11:59
Huy Pham
112
New contributor
Huy Pham is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
1
down vote
accepted
The print function normally doesn't have cutoff - you are probably looking at a special implementation of print since it is generic, which means it can have different implementations for different data types (see documentation).
To select elements with a criteria, you can do num[criteria], in this case num[num > 1.1] as @DatamineR suggested.
answered May 26 '15 at 20:06
Ziyao Wei
20.1k1267105
Any suggestions for how to remove values within a factor analysis object? I am happy to provide data if needed.
– Rilcon42
May 26 '15 at 20:15
@Rilcon42: Could you try post more code? I'm not really sure what a factor analysis object is, do you mean the things here stat.ethz.ch/R-manual/R-patched/library/stats/html/…?
– Ziyao Wei
May 26 '15 at 20:30
Yep thats it exactly!
– Rilcon42
May 26 '15 at 20:41
Do you intend to extract values from uniqueness? If sof$uniquenesses[f$uniquenesses > 1.1]would work, for other attributes it should be along similar lines. You can post more code if that will help.
– Ziyao Wei
May 26 '15 at 20:47
That was exactly what I needed. Thanks!
– Rilcon42
May 26 '15 at 20:48
|
show 1 more comment
up vote
1
down vote
accepted
The print function normally doesn't have cutoff - you are probably looking at a special implementation of print since it is generic, which means it can have different implementations for different data types (see documentation).
To select elements with a criteria, you can do num[criteria], in this case num[num > 1.1] as @DatamineR suggested.
answered May 26 '15 at 20:06
Ziyao Wei
20.1k1267105
Any suggestions for how to remove values within a factor analysis object? I am happy to provide data if needed.
– Rilcon42
May 26 '15 at 20:15
@Rilcon42: Could you try post more code? I'm not really sure what a factor analysis object is, do you mean the things here stat.ethz.ch/R-manual/R-patched/library/stats/html/…?
– Ziyao Wei
May 26 '15 at 20:30
Yep thats it exactly!
– Rilcon42
May 26 '15 at 20:41
Do you intend to extract values from uniqueness? If sof$uniquenesses[f$uniquenesses > 1.1]would work, for other attributes it should be along similar lines. You can post more code if that will help.
– Ziyao Wei
May 26 '15 at 20:47
That was exactly what I needed. Thanks!
– Rilcon42
May 26 '15 at 20:48
|
show 1 more comment
up vote
1
down vote
accepted
up vote
1
down vote
accepted
The print function normally doesn't have cutoff - you are probably looking at a special implementation of print since it is generic, which means it can have different implementations for different data types (see documentation).
To select elements with a criteria, you can do num[criteria], in this case num[num > 1.1] as @DatamineR suggested.
answered May 26 '15 at 20:06
Ziyao Wei
20.1k1267105
The print function normally doesn't have cutoff - you are probably looking at a special implementation of print since it is generic, which means it can have different implementations for different data types (see documentation).
To select elements with a criteria, you can do num[criteria], in this case num[num > 1.1] as @DatamineR suggested.
answered May 26 '15 at 20:06
Ziyao Wei
20.1k1267105
answered May 26 '15 at 20:06
Ziyao Wei
20.1k1267105
answered May 26 '15 at 20:06
Ziyao Wei
20.1k1267105
answered May 26 '15 at 20:06
Ziyao Wei
20.1k1267105
20.1k1267105
Any suggestions for how to remove values within a factor analysis object? I am happy to provide data if needed.
– Rilcon42
May 26 '15 at 20:15
@Rilcon42: Could you try post more code? I'm not really sure what a factor analysis object is, do you mean the things here stat.ethz.ch/R-manual/R-patched/library/stats/html/…?
– Ziyao Wei
May 26 '15 at 20:30
Yep thats it exactly!
– Rilcon42
May 26 '15 at 20:41
Do you intend to extract values from uniqueness? If sof$uniquenesses[f$uniquenesses > 1.1]would work, for other attributes it should be along similar lines. You can post more code if that will help.
– Ziyao Wei
May 26 '15 at 20:47
That was exactly what I needed. Thanks!
– Rilcon42
May 26 '15 at 20:48
|
show 1 more comment
Any suggestions for how to remove values within a factor analysis object? I am happy to provide data if needed.
– Rilcon42
May 26 '15 at 20:15
@Rilcon42: Could you try post more code? I'm not really sure what a factor analysis object is, do you mean the things here stat.ethz.ch/R-manual/R-patched/library/stats/html/…?
– Ziyao Wei
May 26 '15 at 20:30
Yep thats it exactly!
– Rilcon42
May 26 '15 at 20:41
Do you intend to extract values from uniqueness? If sof$uniquenesses[f$uniquenesses > 1.1]would work, for other attributes it should be along similar lines. You can post more code if that will help.
– Ziyao Wei
May 26 '15 at 20:47
That was exactly what I needed. Thanks!
– Rilcon42
May 26 '15 at 20:48
Any suggestions for how to remove values within a factor analysis object? I am happy to provide data if needed.
– Rilcon42
May 26 '15 at 20:15
Any suggestions for how to remove values within a factor analysis object? I am happy to provide data if needed.
– Rilcon42
May 26 '15 at 20:15
@Rilcon42: Could you try post more code? I'm not really sure what a factor analysis object is, do you mean the things here stat.ethz.ch/R-manual/R-patched/library/stats/html/…?
– Ziyao Wei
May 26 '15 at 20:30
@Rilcon42: Could you try post more code? I'm not really sure what a factor analysis object is, do you mean the things here stat.ethz.ch/R-manual/R-patched/library/stats/html/…?
– Ziyao Wei
May 26 '15 at 20:30
Yep thats it exactly!
– Rilcon42
May 26 '15 at 20:41
Yep thats it exactly!
– Rilcon42
May 26 '15 at 20:41
Do you intend to extract values from uniqueness? If so
f$uniquenesses[f$uniquenesses > 1.1] would work, for other attributes it should be along similar lines. You can post more code if that will help.– Ziyao Wei
May 26 '15 at 20:47
Do you intend to extract values from uniqueness? If so
f$uniquenesses[f$uniquenesses > 1.1] would work, for other attributes it should be along similar lines. You can post more code if that will help.– Ziyao Wei
May 26 '15 at 20:47
That was exactly what I needed. Thanks!
– Rilcon42
May 26 '15 at 20:48
That was exactly what I needed. Thanks!
– Rilcon42
May 26 '15 at 20:48
|
show 1 more comment
up vote
1
down vote
This is three years too late, but the cutoff command does work in factor analysis:
some factor analysis where i only want loadings larger than 0.3:
print(factanal(df,factoramount)$loadings, cutoff=0.3)
answered Nov 10 at 11:59
Huy Pham
112
New contributor
Huy Pham is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
up vote
1
down vote
This is three years too late, but the cutoff command does work in factor analysis:
some factor analysis where i only want loadings larger than 0.3:
print(factanal(df,factoramount)$loadings, cutoff=0.3)
answered Nov 10 at 11:59
Huy Pham
112
New contributor
Huy Pham is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
up vote
1
down vote
up vote
1
down vote
This is three years too late, but the cutoff command does work in factor analysis:
some factor analysis where i only want loadings larger than 0.3:
print(factanal(df,factoramount)$loadings, cutoff=0.3)
answered Nov 10 at 11:59
Huy Pham
112
New contributor
Huy Pham is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
This is three years too late, but the cutoff command does work in factor analysis:
some factor analysis where i only want loadings larger than 0.3:
print(factanal(df,factoramount)$loadings, cutoff=0.3)
answered Nov 10 at 11:59
Huy Pham
112
New contributor
Huy Pham is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
answered Nov 10 at 11:59
Huy Pham
112
New contributor
Huy Pham is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
answered Nov 10 at 11:59
Huy Pham
112
answered Nov 10 at 11:59
Huy Pham
112
112
New contributor
Huy Pham is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Huy Pham is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Huy Pham is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
add a comment |
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Try something like (assuming
numis your vector)num[num > 1.1]– DatamineR
May 26 '15 at 20:04