FreesearchR/inst/translations/translation_de.csv

1	en	de
2	Hello	Hallo
3	The following variable pairs are highly correlated: {sentence_paste(.x,and_str)}.\nConsider excluding one {more}from the dataset to ensure variables are independent.	The following variable pairs are highly correlated: {sentence_paste(.x,and_str)}.\nConsider excluding one {more}from the dataset to ensure variables are independent.
4	No variables have a correlation measure above the threshold.	No variables have a correlation measure above the threshold.
5	and	and
6	The following error occured on determining correlations:	The following error occured on determining correlations:
7	from each pair	from each pair
8	New column name:	New column name:
9	Group calculation by:	Group calculation by:
10	Enter an expression to define new column:	Enter an expression to define new column:
11	Click on a column name to add it to the expression:	Click on a column name to add it to the expression:
12	Create column	Create column
13	Cancel	Cancel
14	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.
15	New column name cannot be empty	New column name cannot be empty
16	Create a new column	Create a new column
17	Some operations are not allowed	Some operations are not allowed
18	Column added!	Column added!
19	Unique values:	Unique values:
20	Variable to cut:	Variable to cut:
21	Close intervals on the right	Close intervals on the right
22	Include lowest value	Include lowest value
23	Create factor variable	Create factor variable
24	Fixed breaks:	Fixed breaks:
25	Method:	Method:
26	Other	Other
27	Convert Numeric to Factor	Convert Numeric to Factor
28	Hour of the day	Hour of the day
29	Breaks	Breaks
30	By day of the week	By day of the week
31	By weekday	By weekday
32	By week number and year	By week number and year
33	By week number	By week number
34	By month and year	By month and year
35	By month only	By month only
36	By quarter of the year	By quarter of the year
37	By year	By year
38	Keep only most common	Keep only most common
39	Number	Number
40	Combine below percentage	Combine below percentage
41	Percentage	Percentage
42	By specified numbers	By specified numbers
43	By quantiles (groups of equal size)	By quantiles (groups of equal size)
44	Only non-text variables are available for plotting. Go the "Data" to reclass data to plot.	Only non-text variables are available for plotting. Go the "Data" to reclass data to plot.
45	Plot	Plot
46	Adjust settings, then press "Plot".	Adjust settings, then press "Plot".
47	Plot height (mm)	Plot height (mm)
48	Plot width (mm)	Plot width (mm)
49	File format	File format
50	Download plot	Download plot
51	Create plot	Create plot
52	Download	Download
53	Select variable	Select variable
54	Response variable	Response variable
55	Plot type	Plot type
56	Please select	Please select
57	Additional variables	Additional variables
58	Secondary variable	Secondary variable
59	No variable	No variable
60	Grouping variable	Grouping variable
61	No stratification	No stratification
62	Drawing the plot. Hold tight for a moment..	Drawing the plot. Hold tight for a moment..
63	#Plotting\n	#Plotting\n
64	Stacked horizontal bars	Stacked horizontal bars
65	A classical way of visualising the distribution of an ordinal scale like the modified Ranking Scale and known as Grotta bars	A classical way of visualising the distribution of an ordinal scale like the modified Ranking Scale and known as Grotta bars
66	Violin plot	Violin plot
67	A modern alternative to the classic boxplot to visualise data distribution	A modern alternative to the classic boxplot to visualise data distribution
68	Sankey plot	Sankey plot
69	A way of visualising change between groups	A way of visualising change between groups
70	Scatter plot	Scatter plot
71	A classic way of showing the association between to variables	A classic way of showing the association between to variables
72	Box plot	Box plot
73	A classic way to plot data distribution by groups	A classic way to plot data distribution by groups
74	Euler diagram	Euler diagram
75	Generate area-proportional Euler diagrams to display set relationships	Generate area-proportional Euler diagrams to display set relationships
76	Unique:	Unique:
77	Missing:	Missing:
78	Most Common:	Most Common:
79	Min:	Min:
80	Mean:	Mean:
81	Median:	Median:
82	Max:	Max:
83	{data_text} has {n} observations and {n_var} variables, with {n_complete} ({p_complete} %) complete cases.	{data_text} has {n} observations and {n_var} variables, with {n_complete} ({p_complete} %) complete cases.
84	Import a dataset from an environment	Import a dataset from an environment
85	Select a data source:	Select a data source:
86	Select source	Select source
87	Select a dataset:	Select a dataset:
88	List of datasets...	List of datasets...
89	No data selected!	No data selected!
90	Use a dataset from your environment or from the environment of a package.	Use a dataset from your environment or from the environment of a package.
91	No dataset here...	No dataset here...
92	Imported data	Imported data
93	Not a data.frame	Not a data.frame
94	Rows to skip before reading data:	Rows to skip before reading data:
95	Missing values character(s):	Missing values character(s):
96	if several use a comma (',') to separate them	if several use a comma (',') to separate them
97	Decimal separator:	Decimal separator:
98	Encoding:	Encoding:
99	Upload a file:	Upload a file:
100	Browse...	Browse...
101	Select sheet to import:	Select sheet to import:
102	No file selected.	No file selected.
103	You can choose between these file types:	You can choose between these file types:
104	You can import {file_extensions_text} files	You can import {file_extensions_text} files
105	First five rows are shown below:	First five rows are shown below:
106	No missing observations	No missing observations
107	Grouped by {get_label(data,ter)}	Grouped by {get_label(data,ter)}
108	Import data from REDCap	Import data from REDCap
109	REDCap server	REDCap server
110	Web address	Web address
111	Format should be either 'https://redcap.your.institution/' or 'https://your.institution/redcap/'	Format should be either 'https://redcap.your.institution/' or 'https://your.institution/redcap/'
112	API token	API token
113	The token is a string of 32 numbers and letters.	The token is a string of 32 numbers and letters.
114	Connect	Connect
115	Please fill in web address and API token, then press 'Connect'.	Please fill in web address and API token, then press 'Connect'.
116	Data import parameters	Data import parameters
117	Select fields/variables to import and click the funnel to apply optional filters	Select fields/variables to import and click the funnel to apply optional filters
118	Import	Import
119	Click to see data dictionary	Click to see data dictionary
120	Connected to server!	Connected to server!
121	The {data_rv$info$project_title} project is loaded.	The {data_rv$info$project_title} project is loaded.
122	Data dictionary	Data dictionary
123	Preview:	Preview:
124	Imported data set	Imported data set
125	Select fields/variables to import:	Select fields/variables to import:
126	Specify the data format	Specify the data format
127	Fill missing values?	Fill missing values?
128	Requested data was retrieved!	Requested data was retrieved!
129	Data retrieved, but it looks like only the ID was retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access.	Data retrieved, but it looks like only the ID was retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access.
130	Data retrieved, but it looks like not all requested fields were retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access.	Data retrieved, but it looks like not all requested fields were retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access.
131	Click to see the imported data	Click to see the imported data
132	Regression table	Regression table
133	Regression	Regression
134	Specify covariables	Specify covariables
135	If none are selected, all are included.	If none are selected, all are included.
136	Analyse	Analyse
137	Working...	Working...
138	Press 'Analyse' to create the regression model and after changing parameters.	Press 'Analyse' to create the regression model and after changing parameters.
139	Coefficient plot	Coefficient plot
140	Model checks	Model checks
141	Coefficients plot	Coefficients plot
142	Checks	Checks
143	Yes	Yes
144	No	No
145	Show p-value	Show p-value
146	Select outcome variable	Select outcome variable
147	Choose regression analysis	Choose regression analysis
148	Covariables to format as categorical	Covariables to format as categorical
149	Select variable to stratify baseline	Select variable to stratify baseline
150	Select models to plot	Select models to plot
151	Creating regression models failed with the following error:	Creating regression models failed with the following error:
152	Creating a regression table failed with the following error:	Creating a regression table failed with the following error:
153	Saving the plot. Hold on for a moment..	Saving the plot. Hold on for a moment..
154	Running model assumptions checks failed with the following error:	Running model assumptions checks failed with the following error:
155	Select checks to plot	Select checks to plot
156	Multivariable regression model checks	Multivariable regression model checks
157	www/intro.html	www/intro.html
158	www/intro.md	www/intro.md
159	Get started	Get started
160	Choose your data	Choose your data
161	Upload a file, get data directly from REDCap or use local or sample data.	Upload a file, get data directly from REDCap or use local or sample data.
162	Please be mindfull handling sensitive data	Please be mindfull handling sensitive data
163	<p>The <em><strong>FreesearchR</strong></em> app only stores data for analyses, but please only use with sensitive data when running locally. <a href='https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine'>Read more here</a></p>	<p>The <em><strong>FreesearchR</strong></em> app only stores data for analyses, but please only use with sensitive data when running locally. <a href='https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine'>Read more here</a></p>
164	Quick overview	Quick overview
165	Select variables for final import	Select variables for final import
166	Exclude incomplete variables:	Exclude incomplete variables:
167	At 0, only complete variables are included; at 100, all variables are included.	At 0, only complete variables are included; at 100, all variables are included.
168	Manual selection:	Manual selection:
169	Let's begin!	Let's begin!
170	Prepare	Prepare
171	Overview and filter	Overview and filter
172	Overview and filtering	Overview and filtering
173	Below you find a summary table for quick insigths, and on the right you can visualise data classes, browse observations and apply different data filters.	Below you find a summary table for quick insigths, and on the right you can visualise data classes, browse observations and apply different data filters.
174	Visual overview	Visual overview
175	Browse observations	Browse observations
176	Filter data types	Filter data types
177	Filter observations	Filter observations
178	Apply filter on observation	Apply filter on observation
179	Edit and create data	Edit and create data
180	Subset, rename and convert variables	Subset, rename and convert variables
181	Below, are several options for simple data manipulation like update variables by renaming, creating new labels (for nicer tables in the report) and changing variable classes (numeric, factor/categorical etc.).	Below, are several options for simple data manipulation like update variables by renaming, creating new labels (for nicer tables in the report) and changing variable classes (numeric, factor/categorical etc.).
182	Please note that data modifications are applied before any filtering.	Please note that data modifications are applied before any filtering.
183	Advanced data manipulation	Advanced data manipulation
184	Below options allow more advanced varaible manipulations.	Below options allow more advanced varaible manipulations.
185	Reorder factor levels	Reorder factor levels
186	Reorder the levels of factor/categorical variables.	Reorder the levels of factor/categorical variables.
187	New factor	New factor
188	Create factor/categorical variable from a continous variable (number/date/time).	Create factor/categorical variable from a continous variable (number/date/time).
189	New variable	New variable
190	Create a new variable based on an R-expression.	Create a new variable based on an R-expression.
191	Compare modified data to original	Compare modified data to original
192	Raw print of the original vs the modified data.	Raw print of the original vs the modified data.
193	Original data:	Original data:
194	Modified data:	Modified data:
195	Restore original data	Restore original data
196	Reset to original imported dataset. Careful! There is no un-doing.	Reset to original imported dataset. Careful! There is no un-doing.
197	Evaluate	Evaluate
198	Characteristics	Characteristics
199	Only factor/categorical variables are available for stratification. Go back to the 'Prepare' tab to reclass a variable if it's not on the list.	Only factor/categorical variables are available for stratification. Go back to the 'Prepare' tab to reclass a variable if it's not on the list.
200	Compare strata?	Compare strata?
201	Option to perform statistical comparisons between strata in baseline table.	Option to perform statistical comparisons between strata in baseline table.
202	Press 'Evaluate' to create the comparison table.	Press 'Evaluate' to create the comparison table.
203	Correlations	Correlations
204	To avoid evaluating the correlation of the outcome variable, this can be excluded from the plot or select 'none'.	To avoid evaluating the correlation of the outcome variable, this can be excluded from the plot or select 'none'.
205	Correlation cut-off	Correlation cut-off
206	Set the cut-off for considered 'highly correlated'.	Set the cut-off for considered 'highly correlated'.
207	Missings	Missings
208	Visuals	Visuals
209	Analysis validation	Analysis validation
210	Report	Report
211	Choose your favourite output file format for further work, and download, when the analyses are done.	Choose your favourite output file format for further work, and download, when the analyses are done.
212	Factor variable to reorder:	Factor variable to reorder:
213	Sort by levels	Sort by levels
214	Sort by count	Sort by count
215	Create a new variable (otherwise replaces the one selected)	Create a new variable (otherwise replaces the one selected)
216	Update factor variable	Update factor variable
217	Sort count	Sort count
218	Levels	Levels
219	Count	Count
220	Update levels of a factor	Update levels of a factor
221	Update & select variables	Update & select variables
222	Date format:	Date format:
223	Date to use as origin to convert date/datetime:	Date to use as origin to convert date/datetime:
224	Apply changes	Apply changes
225	No data to display.	No data to display.
226	Data successfully updated!	Data successfully updated!
227	You removed {p_out} % of observations.	You removed {p_out} % of observations.
228	You removed {p_out} % of variables.	You removed {p_out} % of variables.
229	There is a total of {p_miss} % missing observations.	There is a total of {p_miss} % missing observations.
230	Data includes {n_pairs} pairs of highly correlated variables.	Data includes {n_pairs} pairs of highly correlated variables.
231	Class	Class
232	Observations	Observations
233	File upload	File upload
234	REDCap server export	REDCap server export
235	Local or sample data	Local or sample data
236	Data is only stored for analyses and deleted when the app is closed.	Data is only stored for analyses and deleted when the app is closed.
237	Consider [running ***FreesearchR*** locally](https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine) if working with sensitive data.	Consider [running ***FreesearchR*** locally](https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine) if working with sensitive data.
238	Documentation	Documentation
239	Feedback	Feedback
240	License: AGPLv3	License: AGPLv3
241	Source	Source
242	Settings	Settings
243	The ***FreesearchR*** app only stores data for analyses, but please only use with sensitive data when running locally. [Read more here](https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine).	The ***FreesearchR*** app only stores data for analyses, but please only use with sensitive data when running locally. [Read more here](https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine).
244	Data classes and missing observations	Data classes and missing observations
245	We encountered the following error showing missingness:	We encountered the following error showing missingness:
246	Please confirm data reset!	Please confirm data reset!
247	Sure you want to reset data? This cannot be undone.	Sure you want to reset data? This cannot be undone.
248	Confirm	Confirm
249	The filtered data	The filtered data
250	Create new factor	Create new factor
251	This window is aimed at advanced users and require some *R*-experience!	This window is aimed at advanced users and require some *R*-experience!
252	Create new variables	Create new variables
253	Select data types to include	Select data types to include
254	Uploaded data overview	Uploaded data overview
255	We encountered the following error browsing your data:	We encountered the following error browsing your data:
256	Here is an overview of how your data is interpreted, and where data is missing. Use this information to consider if data is missing at random or if some observations are missing systematically wich may be caused by an observation bias.	Here is an overview of how your data is interpreted, and where data is missing. Use this information to consider if data is missing at random or if some observations are missing systematically wich may be caused by an observation bias.
257	Data import	Data import
258	Data import formatting	Data import formatting
259	Data modifications	Data modifications
260	Variables filter	Variables filter
261	Data filter	Data filter
262	Data characteristics table	Data characteristics table
263	The dataset without text variables	The dataset without text variables
264	The data includes {n_col} variables. Please limit to 100.	The data includes {n_col} variables. Please limit to 100.
265	Creating the table. Hold on for a moment..	Creating the table. Hold on for a moment..
266	Generating the report. Hold on for a moment..	Generating the report. Hold on for a moment..
267	We encountered the following error creating your report:	We encountered the following error creating your report:
268	There are more advanced options to modify factor/categorical variables as well as create new factor from an existing variable or new variables with R code. At the bottom you can restore the original data.	There are more advanced options to modify factor/categorical variables as well as create new factor from an existing variable or new variables with R code. At the bottom you can restore the original data.
269	Text or character to split string by	Text or character to split string by
270	Split the variable	Split the variable
271	Variable to split:	Variable to split:
272	Direction:	Direction:
273	Split string to multiple columns. Keep number of rows.	Split string to multiple columns. Keep number of rows.
274	Split string to multiple observations (rows) in the same column. Also ads id and instance columns	Split string to multiple observations (rows) in the same column. Also ads id and instance columns
275	Split character string	Split character string
276	Split text	Split text
277	Split a character string by a common delimiter	Split a character string by a common delimiter
278	Select delimiter	Select delimiter
279	Browse data preview	Browse data preview
280	Original data	Original data
281	Preview of result	Preview of result
282	No character variables with accepted delimiters detected.	No character variables with accepted delimiters detected.
283	Split a text column by a recognised delimiter.	Split a text column by a recognised delimiter.
284	Apply split	Apply split
285	Stacked relative barplot	Stacked relative barplot
286	Create relative stacked barplots to show the distribution of categorical levels	Create relative stacked barplots to show the distribution of categorical levels
287	Side-by-side barplot	Side-by-side barplot
288	Create side-by-side barplot to show the distribution of categorical levels	Create side-by-side barplot to show the distribution of categorical levels
289	Select table theme	Select table theme
290	Level of detail	Level of detail
291	Minimal	Minimal
292	Extensive	Extensive
293	Letters	Letters
294	Words	Words
295	Shorten to first letters	Shorten to first letters
296	Shorten to first words	Shorten to first words
297	Missings across variables by the variable **'{input$missings_var}'**	Missings across variables by the variable **'{input$missings_var}'**
298	Missing vs non-missing observations in the variable **'{input$missings_var}'**	Missing vs non-missing observations in the variable **'{input$missings_var}'**
299	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.
300	Calculating. Hold tight for a moment..	Calculating. Hold tight for a moment..
301	Overview of missing observations	Overview of missing observations
302	Analysis method for missingness overview	Analysis method for missingness overview
303	Overview of missings across variables	Overview of missings across variables
304	Overview of difference in variables by missing status in outcome	Overview of difference in variables by missing status in outcome
305	Select a variable for grouped overview	Select a variable for grouped overview
306	Select outcome variable for overview	Select outcome variable for overview
307	No outcome measure chosen	No outcome measure chosen
308	There is a significant difference in data missingness in {n_nonmcar} {ifelse(n_nonmcar==1,'variable','variables')} grouped by the selected outcome/grouping variable {outcome}.	There is a significant difference in data missingness in {n_nonmcar} {ifelse(n_nonmcar==1,'variable','variables')} grouped by the selected outcome/grouping variable {outcome}.
309	Include group differences	Include group differences