| Title: | Qualtrics for Labelling Text using R |
| Version: | 0.1.0 |
| Description: | Functions to convert text data for labelling into format appropriate for importing into Qualtrics. Supports multiple language, including right-to-left scripts as well as different response types. Outputs an Advance Format .txt file that read into Qualtrics. |
| License: | MIT + file LICENSE |
| Language: | en-US |
| Encoding: | UTF-8 |
| LazyData: | true |
| RoxygenNote: | 7.1.1 |
| Suggests: | covr, knitr, rmarkdown, testthat (≥ 3.0.0) |
| Config/testthat/edition: | 3 |
| Depends: | R (≥ 2.10) |
| VignetteBuilder: | knitr |
| NeedsCompilation: | no |
| Packaged: | 2021-12-02 10:24:57 UTC; cbarrie6 |
| Author: | Christopher Barrie
 [aut, cre] |
| Maintainer: | Christopher Barrie <christopher.barrie@ed.ac.uk> |
| Repository: | CRAN |
| Date/Publication: | 2021-12-02 13:40:07 UTC |
Arabiya politics text from SANAD dataset
Description
A dataset containing one hundred paragraphs of politics labelled news from the SANAD Arabiya news data
Usage
arabiya_text
Format
A data frame with 100 rows and 1 variable:
- text
Paragraphs of Arabiya politics news
...
Source
https://data.mendeley.com/datasets/57zpx667y9/2
Lipsum text from stringi
Description
A dataset containing one hundred paragraphs of lipsum text
Usage
lipsum_text
Format
A data frame with 100 rows and 1 variable:
- text
Paragraphs of (pseudo) random lorem ipsum text
...
Source
https://www.rdocumentation.org/packages/stringi/versions/1.5.3/topics/stri_rand_lipsum
Dataset generated with quilt_form_data
Description
A dataset containing one hundred paragraphs of lipsum text with columns for text (prompt), response_type and ID
Usage
qdat
Format
A data frame with 100 rows and 3 variables:
- prompt
Paragraphs of (pseudo) random lorem ipsum text
- response_type
Response options separated with semi-colons
- id
Unique ID assigned to the text
...
Source
https://www.rdocumentation.org/packages/stringi/versions/1.5.3/topics/stri_rand_lipsum
Create text labelling form for importing to Qualtrics
Description
Create text labelling form for importing to Qualtrics
Usage
quilt_form(input_data, page_break_every = 0, question_type, filename)
Arguments
input_data |
data.frame: input data generated with |
page_break_every |
integer: number of text examples before page break; default is 0 |
question_type |
character vector: one of c("dropdown", "select", "multiselect", "singleanswer", "multianswer", "rankorder", "singleline", "essay" ) |
filename |
name of survey .txt form generated, e.g. "quilted_form.txt." |
Value
a .txt survey file
Examples
## Not run:
data(lipsum_text)
qdat <- quilt_form_data(prompt = "Label this text: ", text = lipsum_text$text,
response_type = "scale", nlow = 1, nhigh = 10, addID = T)
quilt_form(input_data = qdat, page_break_every = 1,
question_type = "multianswer", filename = "test/testing.txt")
## End(Not run)
Format text data to structure needed for quilt_write_form()
Description
Format text data to structure needed for quilt_write_form()
Usage
quilt_form_data(
prompt = NULL,
text,
response_type,
options,
addID = TRUE,
nlow,
nhigh,
remove_NA = FALSE
)
Arguments
prompt |
character string: prompt of text for labelling, e.g.: "Label this text: "; defaults to |
text |
character vector: text inputs for labelling |
response_type |
character vector: one of c("yesno", "options", "scale", "text") |
options |
character vector of response options: e.g., c("big", "small", "biggie smalls") |
addID |
add an ID variable to the text data |
nlow |
integer: low end of numeric scale |
nhigh |
integer: high end of numeric scale |
remove_NA |
if |
Value
a data.frame
Examples
## Not run:
data(lipsum_text)
qdat <- quilt_form_data(prompt = "Label this text: ",
text = lipsum_text$text, response_type = "yesno",
addID = T)
qdat <- quilt_form_data(prompt = "Label this text: ",
text = lipsum_text$text, response_type = "options",
options = c("Not at all", "Somewhat", "Very much"),
addID = T)
qdat <- quilt_form_data(prompt = "Label this text: ",
text = lipsum_text$text, response_type = "scale",
nlow = 1, nhigh = 10, addID = T)
## End(Not run)