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feat: the missingness module was overhauled to include two different analysis methods and a better, standalone module
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Andreas Gammelgaard Damsbo 2025-12-11 09:34:40 +01:00
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inst/translations/translation_sw.csv
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@ -152,8 +152,6 @@
"We encountered the following error creating your report:","We encountered the following error creating your report:"
"No variable chosen for analysis","No variable chosen for analysis"
"No missing observations","No missing observations"
"Missing vs non-missing observations in the variable **'{variabler()}'**","Missing vs non-missing observations in the variable **'{variabler()}'**"
"There is a significant correlation between {n_nonmcar} variables and missing observations in the outcome variable {outcome}.","There is a significant correlation between {n_nonmcar} variables and missing observations in the outcome variable {outcome}."
"There is a total of {p_miss} % missing observations.","There is a total of {p_miss} % missing observations."
"Median:","Median:"
"Restore original data","Restore original data"
@ -250,7 +248,6 @@
"Generating the report. Hold on for a moment..","Generating the report. Hold on for a moment.."
"We encountered the following error showing missingness:","We encountered the following error showing missingness:"
"We encountered the following error browsing your data:","We encountered the following error browsing your data:"
"To consider if data is missing by random, choose the outcome/dependent variable (only variables with any missings are available). If there is a significant difference across other variables depending on missing observations, it may not be missing at random.","To consider if data is missing by random, choose the outcome/dependent variable (only variables with any missings are available). If there is a significant difference across other variables depending on missing observations, it may not be missing at random."
"Choose a name for the column to be created or modified, then enter an expression before clicking on the button below to create the variable, or cancel to exit without saving anything.","Choose a name for the column to be created or modified, then enter an expression before clicking on the button below to create the variable, or cancel to exit without saving anything."
"Other","Other"
"Hour of the day","Hour of the day"
@ -299,3 +296,11 @@
"Words","Words"
"Shorten to first letters","Shorten to first letters"
"Shorten to first words","Shorten to first words"
"Select missings analysis to apply","Select missings analysis to apply"
"Variables","Variables"
"By outcome","By outcome"
"Missings across variables by the variable **'{input$missings_var}'**","Missings across variables by the variable **'{input$missings_var}'**"
"Missing vs non-missing observations in the variable **'{input$missings_var}'**","Missing vs non-missing observations in the variable **'{input$missings_var}'**"
"Evaluate missingness by either comparing missing values across variables (optionally grouped by af categorical or dichotomous variable) or compare variables grouped by the missing status (missing or not) of an outcome variable. If there is a significant difference i the missingness, this may cause a bias in you data and should be considered carefully interpreting the data and analyses as data may not be missing at random.","Evaluate missingness by either comparing missing values across variables (optionally grouped by af categorical or dichotomous variable) or compare variables grouped by the missing status (missing or not) of an outcome variable. If there is a significant difference i the missingness, this may cause a bias in you data and should be considered carefully interpreting the data and analyses as data may not be missing at random."
"Calculating. Hold tight for a moment..","Calculating. Hold tight for a moment.."
"There is a significant difference in data missingness in {n_nonmcar} {ifelse(n_nnonmcar==1,'variable','variables')} grouped by the selected outcome/grouping variable {outcome}.","There is a significant difference in data missingness in {n_nonmcar} {ifelse(n_nnonmcar==1,'variable','variables')} grouped by the selected outcome/grouping variable {outcome}."

1 en sw
152 We encountered the following error creating your report: We encountered the following error creating your report:
153 No variable chosen for analysis No variable chosen for analysis
154 No missing observations No missing observations
Missing vs non-missing observations in the variable **'{variabler()}'** Missing vs non-missing observations in the variable **'{variabler()}'**
There is a significant correlation between {n_nonmcar} variables and missing observations in the outcome variable {outcome}. There is a significant correlation between {n_nonmcar} variables and missing observations in the outcome variable {outcome}.
155 There is a total of {p_miss} % missing observations. There is a total of {p_miss} % missing observations.
156 Median: Median:
157 Restore original data Restore original data
248 Generating the report. Hold on for a moment.. Generating the report. Hold on for a moment..
249 We encountered the following error showing missingness: We encountered the following error showing missingness:
250 We encountered the following error browsing your data: We encountered the following error browsing your data:
To consider if data is missing by random, choose the outcome/dependent variable (only variables with any missings are available). If there is a significant difference across other variables depending on missing observations, it may not be missing at random. To consider if data is missing by random, choose the outcome/dependent variable (only variables with any missings are available). If there is a significant difference across other variables depending on missing observations, it may not be missing at random.
251 Choose a name for the column to be created or modified, then enter an expression before clicking on the button below to create the variable, or cancel to exit without saving anything. Choose a name for the column to be created or modified, then enter an expression before clicking on the button below to create the variable, or cancel to exit without saving anything.
252 Other Other
253 Hour of the day Hour of the day
296 Words Words
297 Shorten to first letters Shorten to first letters
298 Shorten to first words Shorten to first words
299 Select missings analysis to apply Select missings analysis to apply
300 Variables Variables
301 By outcome By outcome
302 Missings across variables by the variable **'{input$missings_var}'** Missings across variables by the variable **'{input$missings_var}'**
303 Missing vs non-missing observations in the variable **'{input$missings_var}'** Missing vs non-missing observations in the variable **'{input$missings_var}'**
304 Evaluate missingness by either comparing missing values across variables (optionally grouped by af categorical or dichotomous variable) or compare variables grouped by the missing status (missing or not) of an outcome variable. If there is a significant difference i the missingness, this may cause a bias in you data and should be considered carefully interpreting the data and analyses as data may not be missing at random. Evaluate missingness by either comparing missing values across variables (optionally grouped by af categorical or dichotomous variable) or compare variables grouped by the missing status (missing or not) of an outcome variable. If there is a significant difference i the missingness, this may cause a bias in you data and should be considered carefully interpreting the data and analyses as data may not be missing at random.
305 Calculating. Hold tight for a moment.. Calculating. Hold tight for a moment..
306 There is a significant difference in data missingness in {n_nonmcar} {ifelse(n_nnonmcar==1,'variable','variables')} grouped by the selected outcome/grouping variable {outcome}. There is a significant difference in data missingness in {n_nonmcar} {ifelse(n_nnonmcar==1,'variable','variables')} grouped by the selected outcome/grouping variable {outcome}.