Mixing
Supply boolean to rpy2 kwargs
I am not sure how to convert between pythons' booleans and R - ones. Basically I have a function that I am trying to run:
seurat_object <- seuratLib.FindVariableGenes(seurat_object, **{'x.low.cutoff': 0.0125,
'x.high.cutoff': 3, 'y.cutoff': 0.5, 'do.plot': False})
The final argument in the function - 'do.plot': False - is the boolean one and just supplying the pythons' False is not working. I would expect to retrieve the Rs' FALSE from some rpy2 singleton object, e.g. rpy2.robjects.r.FALSE but unfortunately I can not find anything like that in the newest rpy2 version. Any suggestions would be greatly appreciated.
python boolean rpy2 kwargs
asked Dec 31 '18 at 21:38
Nikita VlasenkoNikita Vlasenko
9061427
add a comment |
I am not sure how to convert between pythons' booleans and R - ones. Basically I have a function that I am trying to run:
seurat_object <- seuratLib.FindVariableGenes(seurat_object, **{'x.low.cutoff': 0.0125,
'x.high.cutoff': 3, 'y.cutoff': 0.5, 'do.plot': False})
The final argument in the function - 'do.plot': False - is the boolean one and just supplying the pythons' False is not working. I would expect to retrieve the Rs' FALSE from some rpy2 singleton object, e.g. rpy2.robjects.r.FALSE but unfortunately I can not find anything like that in the newest rpy2 version. Any suggestions would be greatly appreciated.
python boolean rpy2 kwargs
asked Dec 31 '18 at 21:38
Nikita VlasenkoNikita Vlasenko
9061427
add a comment |
I am not sure how to convert between pythons' booleans and R - ones. Basically I have a function that I am trying to run:
seurat_object <- seuratLib.FindVariableGenes(seurat_object, **{'x.low.cutoff': 0.0125,
'x.high.cutoff': 3, 'y.cutoff': 0.5, 'do.plot': False})
The final argument in the function - 'do.plot': False - is the boolean one and just supplying the pythons' False is not working. I would expect to retrieve the Rs' FALSE from some rpy2 singleton object, e.g. rpy2.robjects.r.FALSE but unfortunately I can not find anything like that in the newest rpy2 version. Any suggestions would be greatly appreciated.
python boolean rpy2 kwargs
asked Dec 31 '18 at 21:38
Nikita VlasenkoNikita Vlasenko
9061427
I am not sure how to convert between pythons' booleans and R - ones. Basically I have a function that I am trying to run:
seurat_object <- seuratLib.FindVariableGenes(seurat_object, **{'x.low.cutoff': 0.0125,
'x.high.cutoff': 3, 'y.cutoff': 0.5, 'do.plot': False})
The final argument in the function - 'do.plot': False - is the boolean one and just supplying the pythons' False is not working. I would expect to retrieve the Rs' FALSE from some rpy2 singleton object, e.g. rpy2.robjects.r.FALSE but unfortunately I can not find anything like that in the newest rpy2 version. Any suggestions would be greatly appreciated.
python boolean rpy2 kwargs
python boolean rpy2 kwargs
asked Dec 31 '18 at 21:38
Nikita VlasenkoNikita Vlasenko
9061427
asked Dec 31 '18 at 21:38
Nikita VlasenkoNikita Vlasenko
9061427
asked Dec 31 '18 at 21:38
Nikita VlasenkoNikita Vlasenko
9061427
asked Dec 31 '18 at 21:38
Nikita VlasenkoNikita Vlasenko
9061427
asked Dec 31 '18 at 21:38
Nikita VlasenkoNikita Vlasenko
9061427
9061427
add a comment |
add a comment |
1 Answer
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Ultimately I figured it out. I needed to create a vector with one element robjects.vectors.BoolVector([False]) for the False value:
seurat_object = seuratLib.FindVariableGenes(seurat_object, **{'x.low.cutoff': 0.0125,
'x.high.cutoff': 3, 'y.cutoff': 0.5, 'do.plot': robjects.vectors.BoolVector([False])})
answered Jan 1 at 21:30
Nikita VlasenkoNikita Vlasenko
9061427
add a comment |
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1 Answer
1
active
oldest
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1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
Ultimately I figured it out. I needed to create a vector with one element robjects.vectors.BoolVector([False]) for the False value:
seurat_object = seuratLib.FindVariableGenes(seurat_object, **{'x.low.cutoff': 0.0125,
'x.high.cutoff': 3, 'y.cutoff': 0.5, 'do.plot': robjects.vectors.BoolVector([False])})
answered Jan 1 at 21:30
Nikita VlasenkoNikita Vlasenko
9061427
add a comment |
Ultimately I figured it out. I needed to create a vector with one element robjects.vectors.BoolVector([False]) for the False value:
seurat_object = seuratLib.FindVariableGenes(seurat_object, **{'x.low.cutoff': 0.0125,
'x.high.cutoff': 3, 'y.cutoff': 0.5, 'do.plot': robjects.vectors.BoolVector([False])})
answered Jan 1 at 21:30
Nikita VlasenkoNikita Vlasenko
9061427
add a comment |
Ultimately I figured it out. I needed to create a vector with one element robjects.vectors.BoolVector([False]) for the False value:
seurat_object = seuratLib.FindVariableGenes(seurat_object, **{'x.low.cutoff': 0.0125,
'x.high.cutoff': 3, 'y.cutoff': 0.5, 'do.plot': robjects.vectors.BoolVector([False])})
answered Jan 1 at 21:30
Nikita VlasenkoNikita Vlasenko
9061427
Ultimately I figured it out. I needed to create a vector with one element robjects.vectors.BoolVector([False]) for the False value:
seurat_object = seuratLib.FindVariableGenes(seurat_object, **{'x.low.cutoff': 0.0125,
'x.high.cutoff': 3, 'y.cutoff': 0.5, 'do.plot': robjects.vectors.BoolVector([False])})
answered Jan 1 at 21:30
Nikita VlasenkoNikita Vlasenko
9061427
answered Jan 1 at 21:30
Nikita VlasenkoNikita Vlasenko
9061427
answered Jan 1 at 21:30
Nikita VlasenkoNikita Vlasenko
9061427
answered Jan 1 at 21:30
Nikita VlasenkoNikita Vlasenko
9061427
9061427
add a comment |
add a comment |
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