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An Automated Cleaning Tool for Semantic and Linguistic Data

License: GNU General Public License v3.0

R 100.00%
preprocessing r semantic-network-analysis

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semnetcleaner's Issues

[FEATURE]: Large term lists take forever!

Is your feature request related to a problem? Please describe.
When preprocessing large term lists, the check for individual responses takes forever!

Describe the solution you'd like
A faster check!

Describe alternatives you've considered
None... yet.

[ERROR]: Spell-check problem

Hi,

I have been using the package before and it worked fine, but now I suddenly run into problems in the textcleaner function.

Copy and paste of error from your R console

An error has occurred in the 'correct.changes' function of 'textcleaner':

Error in apply(automated[, -1] != changes[, -1], 1, function(x) { : 
  dim(X) must have a positive length

To Reproduce:

  • Function error occurred in: correct.changes function of textcleaner

R, SemNetCleaner, and SemNetDictionaries versions:
• R version: 4.0.3
• SemNetCleaner version: 1.3.0
• SemNetDictionaries version: 0.1.7

Operating System:
• OS: Windows
• Version: 10 x64 build 18363

Additional context and comments

  • worked with previous package version but doesn't now
  • I tried to not change anything in the spell-check file but it still breaks
  • it seems like it is a problem with the dictionary: maybe a writing permission issue?

Best wishes.
Michaela

[ERROR]: `textcleaner` 10:BAD STRING option (BRM Reviewer 1)

Copy and paste of error from your R console

An error has occurred in the 'spellcheck.menu' function of 'textcleaner':

Error in if (!word %in% full.dictionary) { : argument is of length zero

To Reproduce:

  • Function error occurred in: spellcheck.menu function of textcleaner

Optional (but extremely helpful): Attach data to issue or send data to [email protected] with the subject line SemNA Data: [your GitHub username] using this template

R, SemNetCleaner, and SemNetDictionaries versions:

  • R: 3.6.3
  • SemNetCleaner: 1.3.0
  • SemNetDictionaries: 0.1.7

Operating System:

  • OS: Linux
  • Version 4.4.0-146-generic #172-Ubuntu SMP

wrong plural to singular conversion

Copy and paste of error from your R console

Copy and paste error code here
```> singularize("sales")
[1] "sal"
> singularize("houses")
[1] "houses"
> singularize("ones")
[1] "on"
> singularize("toes")
[1] "to"
> singularize("stones")
[1] "stones"
> singularize("buses")
[1] "bu"
> singularize("gases")
[1] "ga"
> singularize("asses")
[1] "as"


Can you please help me out of this as soon as possible to resolve?


**R, SemNetCleaner, and SemNetDictionaries versions:**
- R [R version 4.1.1 (2021-08-10)]
- SemNetCleaner: [1.3.4]
- SemNetDictionaries: [0.1.9]

**Operating System:**
 - OS: [Windows]
 - Version [8.1 x64 ]



**Additional context and comments**
- [e.g., function with arguments]
- [e.g., worked before but doesn't now]
- [e.g., expected behavior]
- [e.g., other things you've tried]

[ERROR]: subscript out of bounds

below is my error:

Preparing your data...

An error has occurred in the 'correct.data' function of 'textcleaner':

Error in `[<-`(`*tmp*`, i, 1:length(correct.ord), value = correct.ord) : 
  subscript out of bounds

To Reproduce:

  • Function error occurred in: correct.data function of textcleaner

Optional (but extremely helpful): Attach data to issue or send data to [email protected] with the subject line **SemNA Data: ** using this template

R, SemNetCleaner, and SemNetDictionaries versions:

  • R 4.3.1
  • SemNetCleaner: 1.3.4
  • SemNetDictionaries: 0.2.0

Operating System:

  • OS: Windows
  • Version 10 x64 build 26120

Additional context and comments

  • [e.g., function with arguments]
  • [e.g., worked before but doesn't now]
  • [e.g., expected behavior]
  • [e.g., other things you've tried]

[ERROR]: Error in data[, "Response"] : subscript out of bounds

Copy and paste of error from your R console

Copy and paste error code here

To Reproduce:

  • Function error occurred in: [e.g., moniker function of textcleaner]

Optional (but extremely helpful): Attach data to issue or send data to [email protected] with the subject line SemNA Data: [your GitHub username] using this template

R, SemNetCleaner, and SemNetDictionaries versions:

  • R [e.g., 3.6.3]
  • SemNetCleaner: [e.g., 1.2.0]
  • SemNetDictionaries: [e.g., 1.1.6]

Operating System:

  • OS: [e.g., Windows, Mac, Linux]
  • Version [e.g., 10 x64 build 18363]

Additional context and comments

  • [e.g., function with arguments]
  • [e.g., worked before but doesn't now]
  • [e.g., expected behavior]
  • [e.g., other things you've tried]

ERROR

Copy and paste of error from your R console

Be sure to provide the following information:

To Reproduce:
 • Function error occurred in: spellcheck.menu function of textcleaner

R, SemNetCleaner, and SemNetDictionaries versions:
 • R version: 3.6.3
 • SemNetCleaner version: 1.3.1
 • SemNetDictionaries version: 0.1.8

Operating System:
 • OS: Darwin
 • Version: 17.7.0 Darwin Kernel Version 17.7.0: Fri Oct 30 13:34:27 PDT 2020; root:xnu-4570.71.82.8~1/RELEASE_X86_64

To Reproduce:

  • Function error occurred in: [e.g., moniker function of textcleaner]

Optional (but extremely helpful): Attach data to issue or send data to [email protected] with the subject line SemNA Data: [your GitHub username] using this template

R, SemNetCleaner, and SemNetDictionaries versions:

  • R [e.g., 3.6.3]
  • SemNetCleaner: [e.g., 1.2.0]
  • SemNetDictionaries: [e.g., 1.1.6]

Operating System:

  • OS: [e.g., Windows, Mac, Linux]
  • Version [e.g., 10 x64 build 18363]

Additional context and comments

  • [e.g., function with arguments]
  • [e.g., worked before but doesn't now]
  • [e.g., expected behavior]
  • [e.g., other things you've tried]

[ERROR]: the use of textcleaner function

Error

**Error in if (is.null(keepLength) | keepLength > 1) { :    argument is of length zero

**To Reproduce:
• Function error occurred in: auto.spellcheck function of textcleaner

**R, SemNetCleaner, and SemNetDictionaries versions:
• R version: 4.2.1
• SemNetCleaner version: 1.3.6
• SemNetDictionaries version: 0.2.0

**Operating System:
• OS: Windows
• Version: 10 x64 build 19044

Additional context and comments
clean <- textcleaner(data = Lampe, type = "free",
dictionary = "oneCor")

[ERROR]:

Copy and paste of error from your R console

Error in `rownames<-`(x, value) : 
  Versuch die 'rownames' für ein Objekt ohne Dimensionen zu setzen

To Reproduce:

  • Function error occurred in: correct.data

Optional (but extremely helpful): Attach data to issue or send data to [email protected] with the subject line SemNA Data: [your GitHub username] using this template

R, SemNetCleaner, and SemNetDictionaries versions:

  • R R version: 4.2.0
  • SemNetCleaner: SemNetCleaner version: 1.3.4
  • SemNetDictionaries: SemNetDictionaries version: 0.2.0

Operating System:

  • OS: Linux
  • Version: 4.15.0-176-generic #185-Ubuntu SMP Tue Mar 29 17:40:04 UTC 2022

--->

Additional context and comments

  • I am running the textcleaner with a loop over all rows of a really big dataset to spot errors as soon as they happen before I wait for hours for the cleaner to run and then tell me there is an error. For some rows it works, for some it throws an error. The result is still saved and looks ok, but with the error I cannot save the dictionary. Sorry the error code is in german, could not find the proper translation.

  • clean[[i]] <- textcleaner(data[[i]], partBY = "row", dictionary = "new_dict2", spelling = "UK", allowPunctuations = c("all"))

pluralize with -ion doesn’t work

Hi!

I noticed that words ending in -ion won’t get a -s added:

> pluralize('exception')
[1] "exception"
> pluralize('observation')
[1] "observation"

Thanks for the great function!

Best,
Bela

[ERROR]:

Copy and paste of error from your R console

Error in customMenu(choices = choices, title = title, default = default) : 
  object 'word' not found

To Reproduce:
AnimalsClean <- textcleaner(data = AnimalsRaw[, -c(1:2)], miss = 99,
partBY = "row", dictionary = "animals")

Optional (but extremely helpful): Attach data to issue or send data to [email protected] with the subject line SemNA Data: [Username] using this template

R, SemNetCleaner, and SemNetDictionaries versions:

  • R version 4.3.0 (2023-04-21 ucrt)
  • SemNetCleaner: 1.3.4
  • SemNetDictionaries: 0.2.0

Operating System:

  • OS: Windows
  • Version: 10 x64 build 19045

Additional context and comments
I am not a seasoned R pro, I have a basic understanding and can amend and run most simple scripts, but I do not have an in-depth understanding of R or any kind of computing language.

[ERROR]: text cleaner - spellcheck.menu

An error has occurred in the 'spellcheck.menu' function of 'textcleaner':

Error in paste0(styletext("Word options\n", defaults = "underline"), word, :
object 'string' not found

Please open a new issue on GitHub (bug report): https://github.com/AlexChristensen/SemNetCleaner/issues/new/choose

Be sure to provide the following information:

To Reproduce:
• Function error occurred in: spellcheck.menu function of textcleaner

R, SemNetCleaner, and SemNetDictionaries versions:
• R version: 4.0.5
• SemNetCleaner version: 1.3.4
• SemNetDictionaries version: 0.2.0

Operating System:
• OS: Windows
• Version: 10 x64 build 19045

Error: Tcl/Tk support is not available on this system

Commands:

library(SemNetDictionaries)
library(SemNetCleaner)
library(SemNeT)
library(NetworkToolbox)


data("open.animals")
clean <- textcleaner(data = open.animals[,-c(1:2)], miss = 99, partBY = "row",
  dictionary = "animals")

Messages:

IDs refer to variable: 'ID'
Error: .onLoad failed in loadNamespace() for 'tcltk', details:
  call: fun(libname, pkgname)
  error: Tcl/Tk support is not available on this system
In addition: Warning message:
S3 methods ‘as.character.tclObj’, ‘as.character.tclVar’, ‘as.double.tclObj’, ‘as.integer.tclObj’, ‘as.logical.tclObj’, ‘as.raw.tclObj’, ‘print.tclObj’, ‘[[.tclArray’, ‘[[<-.tclArray’, ‘$.tclArray’, ‘$<-.tclArray’, ‘names.tclArray’, ‘names<-.tclArray’, ‘length.tclArray’, ‘length<-.tclArray’, ‘tclObj.tclVar’, ‘tclObj<-.tclVar’, ‘tclvalue.default’, ‘tclvalue.tclObj’, ‘tclvalue.tclVar’, ‘tclvalue<-.default’, ‘tclvalue<-.tclVar’, ‘close.tkProgressBar’ were declared in NAMESPACE but not found

My system information:

platform       x86_64-apple-darwin18.6.0
arch           x86_64
os             darwin18.6.0
system         x86_64, darwin18.6.0
status
major          3
minor          6.1
year           2019
month          07
day            05
svn rev        76782
language       R
version.string R version 3.6.1 (2019-07-05)
nickname       Action of the Toes

The correct.data function of textcleaner does not work

Copy and paste of error from your R console

An error has occurred in the 'correct.data' function of 'textcleaner':

Error in `[<-`(`*tmp*`, i, 1:length(correct.ord), value = correct.ord) : 
  subscript out of bounds

Please open a new issue on GitHub (bug report): https://github.com/AlexChristensen/SemNetCleaner/issues/new/choose

Be sure to provide the following information:

To Reproduce:
 • Function error occurred in: correct.data function of textcleaner

R, SemNetCleaner, and SemNetDictionaries versions:
 • R version: 3.6.3
 • SemNetCleaner version: 1.3.1
 • SemNetDictionaries version: 0.1.8

Operating System:
 • OS: Darwin
 • Version: 17.7.0 Darwin Kernel Version 17.7.0: Fri Oct 30 13:34:27 PDT 2020; root:xnu-4570.71.82.8~1/RELEASE_X86_64

To Reproduce:

  • Function error occurred in: [e.g., moniker function of textcleaner]

Optional (but extremely helpful): Attach data to issue or send data to [email protected] with the subject line SemNA Data: [your GitHub username] using this template

R, SemNetCleaner, and SemNetDictionaries versions:

  • R [e.g., 3.6.3]
  • SemNetCleaner: [e.g., 1.2.0]
  • SemNetDictionaries: [e.g., 1.1.6]

Operating System:

  • OS: [e.g., Windows, Mac, Linux]
  • Version [e.g., 10 x64 build 18363]

Additional context and comments

  • [e.g., function with arguments]
  • [e.g., worked before but doesn't now]
  • [e.g., expected behavior]
  • [e.g., other things you've tried]

[ERROR]: An error has occurred in the 'correct.changes' function of 'textcleaner'

Hi,
I have been working with the SemNetCleaner for a while now and it has always run smoothly since the last update. Thanks again for providing such neat packages for doing network analyses, they are so helpful!
I now had to rerun an analysis (due to peer review) and ran into some problems. After running the textcleaner function I get a message that I got an error and are asked to report it. However, there is no error message, just warnings. I get a clean object and I can calculate networks, but I am now unsure if they are correctly computed. I've copied all the information below (unfortunately the message is very long).
Cheers!
Michaela

An error has occurred in the 'correct.changes' function of 'textcleaner':

list(original = list(vf_an_1 = c("dog", "moose", "deer", "cat", "dog", "whale", "elephant", "giraffe", "rabbit", "horse", "lion", "horse", "rooster", "ape", "fish", "leopard", "cat", "dog", "bear", "cow", "bear", "cow", "horse", "cow", "cow", "dog", "fish", "cheetah", "giraffe", "bear", "cow", "cow", "deer", "lion", "giraffe", "cat"), vf_an_2 = c("cat", "cat", "crocodile", "dog", "cat", "elephant", "bear", "turtle", "cat", "rabbit", "tiger", "ape", "cow", "giraffe", "bear", "deer", "dog", "cat",
"puppy", "elephant", "moose", "cat", "sheep", "horse", "crab", "fox", "cat", "lion", "zebra", "wasp", "horse", "pig", "fox", "cow", "lion", "dog"), vf_an_3 = c("mouse", "bear", "panda", "fish", "rabbit", "crocodile", "wolf", "cat", "lion", "leopard", "bear", "tiger", "lamb", "tiger", "lion", "cat", "snail", "chicken", "dog", "tiger", "fish", "dog", "cat", "calf", "horse", "rabbit", "snake", "tiger", "horse", "cow", "camel", "horse", "rabbit", NA, "crocodile", "horse"), vf_an_4 = c("horse", "dog",
"giraffe", "bird", "wolf", "ape", "fox", "dog", "tiger", "elephant", "moose", "jaguar", "squirrel", "lion", "tiger", "dog", "worm", "rooster", "reindeer", "lion", "tiger", "duck", "dog", "pig", "sheep", "bear", "frog", "horse", "cow", "horse", "dromedary", "sheep", "horse", NA, "dog", "rabbit"), vf_an_5 = c("rhino", "reindeer", "adder", "roach", "hippo", "moose", "cat", "elephant", "seal", "tiger", "lynx", "cheetah", "duck", "crocodile", "turtle", "mouse", "ant", "pig", "moose", "cat", "leopard",
"frog", "zebra", "fish", "goat", "cat", "hare", "elephant", "pig", "pig", "cat", "dog", "cow", NA, "elephant", "fox"), vf_an_6 = c("pig", "eagle", "python", "leopard", NA, "shark", "dog", "ape", "fish", "dog", "leopard", "giraffe", "fox", "panda", "shark", "buffalo", "dolphin", "cow", "cow", "dog", "lion", "horse", "cervine", "squid", "scorpion", "horse", "shark", "rabbit", "rhino", "hen", "dog", "cat", "hare", NA, "cat", "hyena"), vf_an_7 = c("cow", "seal", "bird", "tiger", "reindeer", "fish", "giraffe",
"leopard", "snake", "cat", "rhino", "zebra", NA, "camel", "ray", "kangaroo", "shark", "cat", "horse", "mouse", "antelop", "duck", "tiger", "rabbit", "shark", "sheep", "crab", "cat", "hippo", "cat", "hamster", "bug", "fish", NA, "bird", "deer"), vf_an_8 = c("shark", "giraffe", "woodpecker", "guinea pig", "bird", "cow", "gorilla", "lion", "hamster", "guinea pig", "ox", "cat", NA, "cow", "flamingo", NA, "fish", "sheep", "chicken", "rat", "buffalo", "grasshopper", "donkey", "hare", "fish", "hen", "whale",
"dog", "crayfish", "dog", "crab", "ant", "crab", NA, "parrot", "hamster"), vf_an_9 = c("fish", "lion", "horse", "great white shark", "parrot", "dog", "rabbit", "fish", "shark", "mouse", "bull", "dog", NA, NA, "seal", NA, "squid", "deer", "hen", "hermit crab", "crocodile", "scorpion", "ape", "camel", "ape", "rooster", "pike", "duck", "shark", "lion", "fish", "fish", "gotland rabbit", NA, "tiger", "guinea pig"), vf_an_10 = c("turtle", "lynx", "crocodile", "shark", "swan", "bear", "guinea pig", "tiger",
"dolphin", "lion", "cat", NA, NA, NA, "sheep", NA, "rabbit", "moose", "rooster", "crab", "shark", "crayfish", "duck", "dromedary", "bear", NA, NA, "seagull", "dolphin", "antelop", "bird", "snake", "cat", NA, NA, "giraffe"), vf_an_11 = c("bird", "lion", "alligator", "prawn", "crow", NA, "hamster", "shark", "fox", "giraffe", "crocodile", NA, NA, NA, NA, NA, NA, "hare", "ox", "bird", "whale", "crab", "leopard", NA, NA, NA, NA, "crab", "killer whale", "leopard", "crayfish", "ladybug", "dog", NA, NA,
"elephant"), vf_an_12 = c("bee", "leopard", "dog", "common gull", "magpie", NA, "budgie", NA, "cat", "zebra", NA, NA, NA, NA, NA, NA, NA, "snail", "gorilla", "goose", "eagle", "reindeer", "cheetah", NA, NA, NA, NA, "fish", "crab", "cougar", "bear", "grasshopper", "mouse", NA, NA, "dinosaur"), vf_an_13 = c("fly", NA, "cat", "ape", NA, NA, "pig", NA, "dog", NA, NA, NA, NA, NA, NA, NA, NA, "fox", "ape", "eagle", "frog", "moose", "dinosaur", NA, NA, NA, NA, "shark", "ladybug", "tiger", NA, NA, "rat",
NA, NA, "dragon"), vf_an_14 = c("bumblebee", NA, "rhino", "gorilla", NA, NA, "cow", NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, "bird", NA, "ape", NA, NA, NA, NA, NA, NA, "whale", "bug", "bird", NA, NA, NA, NA, NA, NA), vf_an_15 = c("crocodile", NA, "hippo", "elephant", NA, NA, "horse", NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, "dog", NA, NA, NA, NA, NA, NA, "dog", "fish", "rabbit", NA, NA, NA, NA, NA, NA), vf_an_16 = c(NA, NA, NA, "giraffe", NA, NA, "crocodile", NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, "duck", NA, NA, NA, NA, NA, NA, "foal", "blue whale", "snake", NA, NA, NA, NA, NA, NA), vf_an_17 = c(NA, NA, NA, NA, NA, NA, "shark", NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, "cat", NA, NA, NA, NA, NA, NA, "cow", "seahorse", "lizard", NA, NA, NA, NA, NA, NA), vf_an_18 = c(NA, NA, NA, NA, NA, NA, "fish", NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, "hamster", NA, NA, NA, NA, NA, NA, NA, NA, "bumblebee", NA, NA, NA, NA, NA, NA), vf_an_19 = c(NA, NA, NA,
NA, NA, NA, "whale", NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, "cheetah", NA, NA, NA, NA, NA, NA, NA, NA, "bee", NA, NA, NA, NA, NA, NA), vf_an_20 = c(NA, NA, NA, NA, NA, NA, "bird", NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA), vf_an_21 = c(NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA), vf_an_22 = c(NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA), vf_an_23 = c(NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA), vf_an_24 = c(NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA)), clean = c("dog", "moose", "deer", "cat", "dog", "whale", "elephant",
"giraffe", "rabbit", "horse", "lion", "horse", "rooster", "ape", "fish", "leopard", "cat", "dog", "bear", "cow", "bear", "cow", "horse", "cow", "cow", "dog", "fish", "cheetah", "giraffe", "bear", "cow", "cow", "deer", "lion", "giraffe", "cat", "cat", "cat", "crocodile", "dog", "cat", "elephant", "bear", "turtle", "cat", "rabbit", "tiger", "ape", "cow", "giraffe", "bear", "deer", "dog", "cat", "puppy", "elephant", "moose", "cat", "sheep", "horse", "crab", "fox", "cat", "lion", "zebra", "wasp", "horse",
"pig", "fox", "cow", "lion", "dog", "mouse", "bear", "panda", "fish", "rabbit", "crocodile", "wolf", "cat", "lion", "leopard", "bear", "tiger", "lamb", "tiger", "lion", "cat", "snail", "chicken", "dog", "tiger", "fish", "dog", "cat", "calf", "horse", "rabbit", "snake", "tiger", "horse", "cow", "camel", "horse", "rabbit", NA, "crocodile", "horse", "horse", "dog", "giraffe", "bird", "wolf", "ape", "fox", "dog", "tiger", "elephant", "moose", "jaguar", "squirrel", "lion", "tiger", "dog", "worm", "rooster",
"reindeer", "lion", "tiger", "duck", "dog", "pig", "sheep", "bear", "frog", "horse", "cow", "horse", "dromedary", "sheep", "horse", NA, "dog", "rabbit", "rhinoceros", "reindeer", "adder", "cockroach", "hippopotamus", "moose", "cat", "elephant", "seal", "tiger", "lynx", "cheetah", "duck", "crocodile", "turtle", "mouse", "ant", "pig", "moose", "cat", "leopard", "frog", "zebra", "fish", "goat", "cat", "hare", "elephant", "pig", "pig", "cat", "dog", "cow", NA, "elephant", "fox", "pig", "eagle", "python",
"leopard", "reindeer", "shark", "dog", "ape", "fish", "dog", "leopard", "giraffe", "fox", "panda", "shark", "buffalo", "dolphin", "cow", "cow", "dog", "lion", "horse", "cervine", "squid", "scorpion", "horse", "shark", "rabbit", "rhinoceros", "hen", "dog", "cat", "hare", NA, "cat", "hyena", "cow", "seal", "bird", "tiger", "bird", "fish", "giraffe", "leopard", "snake", "cat", "rhinoceros", "zebra", NA, "camel", "sting ray", "kangaroo", "shark", "sheep", "horse", "mouse", "antelope", "grasshopper",
"tiger", "rabbit", "shark", "sheep", "crab", "cat", "hippopotamus", "cat", "hamster", "insect", "fish", NA, "bird", "deer", "shark", "giraffe", "woodpecker", "guinea pig", "parrot", "cow", "gorilla", "lion", "hamster", "guinea pig", "ox", "cat", NA, "cow", "flamingo", NA, "fish", "deer", "chicken", "rat", "buffalo", "scorpion", "donkey", "hare", "fish", "hen", "whale", "dog", "crayfish", "dog", "crab", "ant", "crab", NA, "parrot", "hamster", "fish", "lion", "horse", "great white shark", "swan", "dog",
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0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 1, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0)) list(correspondence = c("dog", "moose", "deer", "cat", "whale", "elephant", "giraffe", "rabbit", "horse", "lion", "rooster", "ape", "fish", "leopard", "bear", "cow", "cheetah", "crocodile", "turtle", "tiger", "puppy", "sheep", "crab", "fox", "zebra", "wasp", "pig", "mouse", "panda", "wolf", "lamb", "snail", "chicken", "calf", "snake", "camel", "bird", "jaguar", "squirrel", "worm", "reindeer", "duck", "frog", "dromedary", "rhino", "adder", "roach", "hippo", "seal", "lynx", "ant", "goat", "hare", "eagle",
"python", "shark", "buffalo", "dolphin", "cervine", "squid", "scorpion", "hen", "hyena", "ray", "kangaroo", "antelop", "hamster", "bug", "woodpecker", "guinea pig", "gorilla", "ox", "flamingo", "rat", "grasshopper", "donkey", "crayfish", "parrot", "great white shark", "bull", "hermit crab", "pike", "gotland rabbit", "swan", "seagull", "alligator", "prawn", "crow", "killer whale", "ladybug", "bee", "common gull", "magpie", "budgie", "goose", "cougar", "dinosaur", "fly", "dragon", "bumblebee", "foal",
"blue whale", "seahorse", "lizard", "dog", "moose", "deer", "cat", "whale", "elephant", "giraffe", "rabbit", "horse", "lion", "rooster", "ape", "fish", "leopard", "bear", "cow", "cheetah", "crocodile", "turtle", "tiger", "puppy", "sheep", "crab", "fox", "zebra", "wasp", "pig", "mouse", "panda", "wolf", "lamb", "snail", "chicken", "calf", "snake", "camel", "bird", "jaguar", "squirrel", "worm", "reindeer", "duck", "frog", "dromedary", "rhinoceros", "adder", "cockroach", "hippopotamus", "seal", "lynx",
"ant", "goat", "hare", "eagle", "python", "shark", "buffalo", "dolphin", "cervine", "squid", "scorpion", "hen", "hyena", "sting ray", "kangaroo", "antelope", "hamster", "insect", "woodpecker", "guinea pig", "gorilla", "ox", "flamingo", "rat", "grasshopper", "donkey", "crayfish", "parrot", "great white shark", "bull", "hermit crab", "pike", "gotland rabbit", "swan", "seagull", "alligator", "prawn", "crow", "orca", "ladybug", "bee", "common gull", "magpie", "budgie", "goose", "cougar", "dinosaur",
"fly", "dragon", "bumblebee", "foal", "blue whale", "seahorse", "lizard"), automated = c("roach", "antelop", "cockroach", "antelope"), manual = c("adder", "cervine", "gotland rabbit", "common gull", "budgie", "adder", "cervine", "gotland rabbit", "common gull", "budgie")) list(Perseverations = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), Intrusions = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), Appropriate = c(15, 11, 14, 16, 11, 10, 20, 11, 12, 12, 11, 9, 6, 8, 10, 7, 10, 12, 14, 13, 19, 12, 13, 10, 10, 9, 9, 16, 17, 19, 12, 12, 13, 2, 9, 13))
Please open a new issue on GitHub (bug report): https://github.com/AlexChristensen/SemNetCleaner/issues/new/choose

Be sure to provide the following information:

To Reproduce:
• Function error occurred in: correct.changes function of textcleaner

R, SemNetCleaner, and SemNetDictionaries versions:
• R version: 4.1.1
• SemNetCleaner version: 1.3.3
• SemNetDictionaries version: 0.1.8

Operating System:
• OS: Windows
• Version: 10 x64 build 19043
Warning messages:
1: In sprintf(paste(main.count, "of", length(ind), "responses done"), :
one argument not used by format '1 of 5 responses done'
2: In sprintf(paste(main.count, "of", length(ind), "responses done"), :
one argument not used by format '2 of 5 responses done'
3: In sprintf(paste(main.count, "of", length(ind), "responses done"), :
one argument not used by format '3 of 5 responses done'
4: In sprintf(paste(main.count, "of", length(ind), "responses done"), :
one argument not used by format '4 of 5 responses done'
5: In sprintf(paste(main.count, "of", length(ind), "responses done"), :
one argument not used by format '5 of 5 responses done'
6: In if (class(data) == "character") { :
the condition has length > 1 and only the first element will be used

Version 1.3.1 Error: $ operator is invalid for atomic vectors

Copy and paste of error from your R console

The 'spelling' argument was not set. Using default: 'US' English spelling

IDs refer to variable: 'ID'

Converting dictionary to 'US' spelling...Error: $ operator is invalid for atomic vectors

To Reproduce:

  • Function error occurred in: Error in example

Optional (but extremely helpful): Attach data to issue or send data to [email protected] with the subject line SemNA Data: [your GitHub username] using this template

R, SemNetCleaner, and SemNetDictionaries versions:

  • R 4.0.2
  • SemNetCleaner: 1.3.1
  • SemNetDictionaries: 0.1.7

Operating System:

  • OS: Mac
  • Version 19.6.0

Additional context and comments

  • Example using toy data is producing this error. Version 1.3.0 does not produce the same error.

[ERROR]: Object Mons Not Found

Copy and paste of error from your R console

Auto-correcting common misspellings and monikers...done.

An error has occured in the 'auto.spellcheck' function of 'textcleaner':

Error in paste("\nAttempting to auto-correct the remaining", length(mons),  : 
  object 'mons' not found

To Reproduce:

  • Function error occurred in: auto.spellcheck function of textcleaner

Optional (but extremely helpful): Attach data to issue or send data to [email protected] with the subject line SemNA Data: [your GitHub username] using this template

R, SemNetCleaner, and SemNetDictionaries versions:

  • R 4.0.2
  • SemNetCleaner: 1.3.0
  • SemNetDictionaries: 0.1.7

Operating System:

  • OS: Mac
  • Version 19.6.0

Additional context and comments

  • Hasn't yet worked.
  • Replication data attached.

tdm.csv.zip

[ERROR]: An error has occurred in the 'auto.spellcheck' function of 'textcleaner': Error in checkForRemoteErrors(val) : one node produced an error: Indizierung außerhalb der Grenzen

Copy and paste error code here
[An error has occurred in the 'auto.spellcheck' function of 'textcleaner':

Error in checkForRemoteErrors(val) :
one node produced an error: Indizierung außerhalb der Grenzen]

To Reproduce:

  • Function error occurred in: [auto.spellcheck function of textcleaner]

Optional (but extremely helpful): Attach data to issue or send data to [email protected] with the subject line SemNA Data: [your GitHub username] using this template

R, SemNetCleaner, and SemNetDictionaries versions:
• R version: 4.3.1
• SemNetCleaner version: 1.3.6
• SemNetDictionaries version: 0.2.0

Operating System:
• OS: Windows
• Version: 10 x64 build 19045
Error in spell.check$stop : $ operator is invalid for atomic vectors

Additional context and comments

  • worked before just now but after updating my custom dictionary it doesn´t work anymore
  • tried to use it with a different dictionary which worked but not with the necessary custom dictionary

[ERROR]: prep.spellcheck.dictionary function of textcleaner

An error has occurred in the 'prep.spellcheck.dictionary' function of 'textcleaner':

Error in apply(data, 2, function(y) gsub("([-])|[[:punct:]]", "\1", y)) :
dim(X) must have a positive length

Please open a new issue on GitHub (bug report): https://github.com/AlexChristensen/SemNetCleaner/issues/new/choose

Be sure to provide the following information:

To Reproduce:
Function error occurred in: prep.spellcheck.dictionary function of textcleaner

R, SemNetCleaner, and SemNetDictionaries versions:
R version: 4.0.3
SemNetCleaner version: 1.3.1
SemNetDictionaries version: 0.1.8

Operating System:
OS: Windows
Version: 10 x64 build 16299

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