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rdf-spec | rb plugin that provides RSpec matchers | Data Manipulation library

 by   ruby-rdf Ruby Version: 3.2.0 License: Unlicense

 by   ruby-rdf Ruby Version: 3.2.0 License: Unlicense

kandi X-RAY | rdf-spec Summary

rdf-spec is a Ruby library typically used in Utilities, Data Manipulation applications. rdf-spec has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.
RDF.rb plugin that provides RSpec matchers and shared examples for RDF objects.
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Quality
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Security
Security
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kandi-support Support

  • rdf-spec has a low active ecosystem.
  • It has 12 star(s) with 10 fork(s). There are 8 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 0 open issues and 12 have been closed. On average issues are closed in 353 days. There are no pull requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of rdf-spec is 3.2.0
rdf-spec Support
Best in #Data Manipulation
Average in #Data Manipulation
rdf-spec Support
Best in #Data Manipulation
Average in #Data Manipulation

quality kandi Quality

  • rdf-spec has 0 bugs and 0 code smells.
rdf-spec Quality
Best in #Data Manipulation
Average in #Data Manipulation
rdf-spec Quality
Best in #Data Manipulation
Average in #Data Manipulation

securitySecurity

  • rdf-spec has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • rdf-spec code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.
rdf-spec Security
Best in #Data Manipulation
Average in #Data Manipulation
rdf-spec Security
Best in #Data Manipulation
Average in #Data Manipulation

license License

  • rdf-spec is licensed under the Unlicense License. This license is Permissive.
  • Permissive licenses have the least restrictions, and you can use them in most projects.
rdf-spec License
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Average in #Data Manipulation
rdf-spec License
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Average in #Data Manipulation

buildReuse

  • rdf-spec releases are available to install and integrate.
  • Installation instructions, examples and code snippets are available.
rdf-spec Reuse
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rdf-spec Reuse
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rdf-spec Key Features

RDF.rb plugin that provides RSpec matchers and shared examples for RDF objects.

rdf-spec Examples and Code Snippets

Community Discussions

Trending Discussions on Data Manipulation
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Trending Discussions on Data Manipulation

QUESTION

R: Is there a "Un-Character" Command in R?

Asked 2022-Apr-10 at 17:37

I am working with the R programming language.

I have the following dataset:

v <- c(1,2,3,4,5,6,7,8,9,10)

var_1 <- as.factor(sample(v, 10000, replace=TRUE, prob=c(0.1,0.1,0.1,0.1,0.1, 0.1,0.1,0.1,0.1,0.1)))

var_2 <- as.factor(sample(v, 10000, replace=TRUE, prob=c(0.1,0.1,0.1,0.1,0.1, 0.1,0.1,0.1,0.1,0.1)))

var_3 <- as.factor(sample(v, 10000, replace=TRUE, prob=c(0.1,0.1,0.1,0.1,0.1, 0.1,0.1,0.1,0.1,0.1)))

var_4 <- as.factor(sample(v, 10000, replace=TRUE, prob=c(0.1,0.1,0.1,0.1,0.1, 0.1,0.1,0.1,0.1,0.1)))

var_5 <- as.factor(sample(v, 10000, replace=TRUE, prob=c(0.1,0.1,0.1,0.1,0.1, 0.1,0.1,0.1,0.1,0.1)))

my_data = data.frame(var_1, var_2, var_3, var_4, var_5)

I also have another dataset of "conditions" that will be used for querying this data frame:

conditions = data.frame(cond_1 = c("1,3,4", "4,5,6"), cond_2 = c("5,6", "7,8,9"))

My Question: I tried to run the following command to select rows from "my_data" based on the first row of "conditions" - but this returns an empty result:

my_data[my_data$var_1 %in% unlist(conditions[1,1]) &
            my_data$var_2 %in% unlist(conditions[1,2]), ]

[1] var_1 var_2 var_3 var_4 var_5
<0 rows> (or 0-length row.names)

I tried to look more into this by "inspecting" these conditions:

class(conditions[1,1])
[1] "character"

This makes me think that the "unlist()" command is not working because the conditions themselves are a "character" instead of a "list".

Is there an equivalent command that can be used here that plays the same role as the "unlist()" command so that the above statement can be run?

In general, I am trying to produce the same results as I would have gotten from this code - but keeping the format I was using above:

my_data[my_data$var_1 %in% c("1", "3", "4") &
            my_data$var_2 %in% c("5", "6"), ]

ANSWER

Answered 2022-Apr-10 at 05:36

Up front, "1,3,4" != 1. It seems you should look to split the strings using strsplit(., ",").

expected <- my_data[my_data$var_1 %in% c("1", "3", "4") & my_data$var_2 %in% c("5", "6"), ]
head(expected)
#     var_1 var_2 var_3 var_4 var_5
# 18      3     6     2     2     9
# 129     3     5     3     2     8
# 133     4     5     6     5     8
# 186     1     6     6    10    10
# 204     4     6     4     2     6
# 207     1     5     3     2     9

out <- my_data[do.call(`&`, 
  Map(`%in%`,
      lapply(my_data[,1:2], as.character), 
      lapply(conditions, function(z) strsplit(z, ",")[[1]]))),]
head(out)
#     var_1 var_2 var_3 var_4 var_5
# 18      3     6     2     2     9
# 129     3     5     3     2     8
# 133     4     5     6     5     8
# 186     1     6     6    10    10
# 204     4     6     4     2     6
# 207     1     5     3     2     9

Edit: update for new conditions: change do.call to Reduce:

conditions = data.frame(cond_1 = c("1,3,4", "4,5,6"), cond_2 = c("5,6", "7,8,9"), cond_3 = c("4,6", "9"))
out <- my_data[Reduce(`&`,
  Map(`%in%`,
      lapply(my_data[,1:3], as.character),
      lapply(conditions, function(z) strsplit(z, ",")[[1]]))),]
head(out)
#     var_1 var_2 var_3 var_4 var_5
# 133     4     5     6     5     8
# 186     1     6     6    10    10
# 204     4     6     4     2     6
# 232     1     5     6     5     8
# 332     3     6     6     5    10
# 338     1     5     6     3     6

Source https://stackoverflow.com/questions/71813866

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install rdf-spec

The recommended installation method is via RubyGems. To install the latest official release of the RDF::Spec gem, do:.
To get a local working copy of the development repository, do:.

Support

Shared specs are implemented in modules which typically require that an instance be defined in a class variable in a before(:each) block. For example, an class implementing RDF::Countable could test this behavior by defining @countable as an instance variable and including RDF_Countable as follows:. Note that in most cases, if the instance is empty and mutable, the appropriate statements will be added. When testing a non-mutable instance, the data must be pre-loaded.

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  • https://github.com/ruby-rdf/rdf-spec.git

  • gh repo clone ruby-rdf/rdf-spec

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