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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










0















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?










share|improve this question









New contributor




No Ru is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.















  • 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







  • 1





    Ahhhh! Thank you so much!

    – No Ru
    2 days ago















0















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?










share|improve this question









New contributor




No Ru is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.















  • 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







  • 1





    Ahhhh! Thank you so much!

    – No Ru
    2 days ago













0












0








0








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?










share|improve this question









New contributor




No Ru is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.












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






share|improve this question









New contributor




No Ru is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.











share|improve this question









New contributor




No Ru is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.









share|improve this question




share|improve this question








edited 2 days ago









Maurits Evers

29.2k41535




29.2k41535






New contributor




No Ru is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.









asked 2 days ago









No RuNo Ru

1




1




New contributor




No Ru is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.





New contributor





No Ru is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.






No Ru is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.







  • 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







  • 1





    Ahhhh! Thank you so much!

    – No Ru
    2 days ago












  • 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







  • 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












1 Answer
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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.






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    1 Answer
    1






    active

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    active

    oldest

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    active

    oldest

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    -1














    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.






    share|improve this answer



























      -1














      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.






      share|improve this answer

























        -1












        -1








        -1







        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.






        share|improve this answer













        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.







        share|improve this answer












        share|improve this answer



        share|improve this answer










        answered 2 days ago









        Sang won kimSang won kim

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