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Why should I use ggraph() with set.seed() in R?
2019 Community Moderator ElectionHow to Correctly Use Lists in R?Why does geom_text() throw coercion errors when hjust and vjust are strings?What do hjust and vjust do when making a plot using ggplot?Reasons for using the set.seed functionDoes ggplot's vjust of axis.text depend on angle?Align text to edge of grid RLeft align ggplot title (Tried hjust/margin() and nothing works)Text mining .docx interview transcriptions in RControlling facet order in ggraphAxis labels in ggplot2 gets cut off or overlays the graph
I've recently been learning text mining with tidytext
.
Today, I encountered the following:
set.seed(2017)
ggraph(bigram_graph, layout="fr") + geom_edge_link() + geom_node_point() +
geom_node_text(aes(label=name), vjust=1, hjust=1)
I've used the set.seed()
function with other functions like sample()
. But here, I don't understand why ggraph
should be used with set.seed()
.
Can anyone help me?
r text-mining ggraph
New contributor
add a comment |
I've recently been learning text mining with tidytext
.
Today, I encountered the following:
set.seed(2017)
ggraph(bigram_graph, layout="fr") + geom_edge_link() + geom_node_point() +
geom_node_text(aes(label=name), vjust=1, hjust=1)
I've used the set.seed()
function with other functions like sample()
. But here, I don't understand why ggraph
should be used with set.seed()
.
Can anyone help me?
r text-mining ggraph
New contributor
5
I believe in (the default layout of) a graph (i.e. how nodes are placed on the plot) is random; so setting a fixed seed ensures that graphs are identical. It's easy to check: Remove theset.seed(2017)
statement and see ifggraph(...) + ...
produces the same output when re-running multiple times.
– Maurits Evers
2 days ago
1
Ahhhh! Thank you so much!
– No Ru
2 days ago
add a comment |
I've recently been learning text mining with tidytext
.
Today, I encountered the following:
set.seed(2017)
ggraph(bigram_graph, layout="fr") + geom_edge_link() + geom_node_point() +
geom_node_text(aes(label=name), vjust=1, hjust=1)
I've used the set.seed()
function with other functions like sample()
. But here, I don't understand why ggraph
should be used with set.seed()
.
Can anyone help me?
r text-mining ggraph
New contributor
I've recently been learning text mining with tidytext
.
Today, I encountered the following:
set.seed(2017)
ggraph(bigram_graph, layout="fr") + geom_edge_link() + geom_node_point() +
geom_node_text(aes(label=name), vjust=1, hjust=1)
I've used the set.seed()
function with other functions like sample()
. But here, I don't understand why ggraph
should be used with set.seed()
.
Can anyone help me?
r text-mining ggraph
r text-mining ggraph
New contributor
New contributor
edited 2 days ago
Maurits Evers
29.2k41535
29.2k41535
New contributor
asked 2 days ago
No RuNo Ru
1
1
New contributor
New contributor
5
I believe in (the default layout of) a graph (i.e. how nodes are placed on the plot) is random; so setting a fixed seed ensures that graphs are identical. It's easy to check: Remove theset.seed(2017)
statement and see ifggraph(...) + ...
produces the same output when re-running multiple times.
– Maurits Evers
2 days ago
1
Ahhhh! Thank you so much!
– No Ru
2 days ago
add a comment |
5
I believe in (the default layout of) a graph (i.e. how nodes are placed on the plot) is random; so setting a fixed seed ensures that graphs are identical. It's easy to check: Remove theset.seed(2017)
statement and see ifggraph(...) + ...
produces the same output when re-running multiple times.
– Maurits Evers
2 days ago
1
Ahhhh! Thank you so much!
– No Ru
2 days ago
5
5
I believe in (the default layout of) a graph (i.e. how nodes are placed on the plot) is random; so setting a fixed seed ensures that graphs are identical. It's easy to check: Remove the
set.seed(2017)
statement and see if ggraph(...) + ...
produces the same output when re-running multiple times.– Maurits Evers
2 days ago
I believe in (the default layout of) a graph (i.e. how nodes are placed on the plot) is random; so setting a fixed seed ensures that graphs are identical. It's easy to check: Remove the
set.seed(2017)
statement and see if ggraph(...) + ...
produces the same output when re-running multiple times.– Maurits Evers
2 days ago
1
1
Ahhhh! Thank you so much!
– No Ru
2 days ago
Ahhhh! Thank you so much!
– No Ru
2 days ago
add a comment |
1 Answer
1
active
oldest
votes
We use a set.seed function because the results vary when performing a random performance. Figuratively speaking, imagine planting seeds. You can sow seeds anywhere in the land. The first seed planted and the second seed planted produce clearly different results. This is because the shape of the stem and the leaf are different. If you use the set.seed function, you will get the same results.
add a comment |
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We use a set.seed function because the results vary when performing a random performance. Figuratively speaking, imagine planting seeds. You can sow seeds anywhere in the land. The first seed planted and the second seed planted produce clearly different results. This is because the shape of the stem and the leaf are different. If you use the set.seed function, you will get the same results.
add a comment |
We use a set.seed function because the results vary when performing a random performance. Figuratively speaking, imagine planting seeds. You can sow seeds anywhere in the land. The first seed planted and the second seed planted produce clearly different results. This is because the shape of the stem and the leaf are different. If you use the set.seed function, you will get the same results.
add a comment |
We use a set.seed function because the results vary when performing a random performance. Figuratively speaking, imagine planting seeds. You can sow seeds anywhere in the land. The first seed planted and the second seed planted produce clearly different results. This is because the shape of the stem and the leaf are different. If you use the set.seed function, you will get the same results.
We use a set.seed function because the results vary when performing a random performance. Figuratively speaking, imagine planting seeds. You can sow seeds anywhere in the land. The first seed planted and the second seed planted produce clearly different results. This is because the shape of the stem and the leaf are different. If you use the set.seed function, you will get the same results.
answered 2 days ago
Sang won kimSang won kim
347
347
add a comment |
add a comment |
No Ru is a new contributor. Be nice, and check out our Code of Conduct.
No Ru is a new contributor. Be nice, and check out our Code of Conduct.
No Ru is a new contributor. Be nice, and check out our Code of Conduct.
No Ru is a new contributor. Be nice, and check out our Code of Conduct.
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5
I believe in (the default layout of) a graph (i.e. how nodes are placed on the plot) is random; so setting a fixed seed ensures that graphs are identical. It's easy to check: Remove the
set.seed(2017)
statement and see ifggraph(...) + ...
produces the same output when re-running multiple times.– Maurits Evers
2 days ago
1
Ahhhh! Thank you so much!
– No Ru
2 days ago