FreesearchR/inst/translations/translation_sw.csv

1	en	sw
2	Hello	Habari
3	Get started	Get started
4	File upload	File upload
5	REDCap server export	REDCap server export
6	Local or sample data	Local or sample data
7	Please be mindfull handling sensitive data	Please be mindfull handling sensitive data
8	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).
9	Quick overview	Quick overview
10	Select variables for final import	Select variables for final import
11	Exclude incomplete variables:	Exclude incomplete variables:
12	Manual selection:	Manual selection:
13	Let's begin!	Let's begin!
14	Analysis validation	Analysis validation
15	Report	Report
16	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.
17	www/intro.html	www/intro_sw.html
18	<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>
19	Overview and filter	Overview and filter
20	Overview and filtering	Overview and filtering
21	Visual overview	Visual overview
22	Filter data types	Filter data types
23	Filter observations	Filter observations
24	Apply filter on observation	Apply filter on observation
25	Edit and create data	Edit and create data
26	Subset, rename and convert variables	Subset, rename and convert variables
27	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.).
28	There are more advanced options to modify factor/categorical variables as well as create new factor from a continous 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 a continous variable or new variables with R code. At the bottom you can restore the original data.
29	Please note that data modifications are applied before any filtering.	Please note that data modifications are applied before any filtering.
30	Advanced data manipulation	Advanced data manipulation
31	Below options allow more advanced varaible manipulations.	Below options allow more advanced varaible manipulations.
32	Reorder factor levels	Reorder factor levels
33	Reorder the levels of factor/categorical variables.	Reorder the levels of factor/categorical variables.
34	New factor	New factor
35	Create factor/categorical variable from a continous variable (number/date/time).	Create factor/categorical variable from a continous variable (number/date/time).
36	New variable	New variable
37	Create a new variable based on an R-expression.	Create a new variable based on an R-expression.
38	Compare modified data to original	Compare modified data to original
39	Raw print of the original vs the modified data.	Raw print of the original vs the modified data.
40	Original data:	Original data:
41	Modified data:	Modified data:
42	New column name:	New column name:
43	Group calculation by:	Group calculation by:
44	Enter an expression to define new column:	Enter an expression to define new column:
45	Click on a column name to add it to the expression:	Click on a column name to add it to the expression:
46	Create column	Create column
47	New column name cannot be empty	New column name cannot be empty
48	Create a new column	Create a new column
49	Some operations are not allowed	Some operations are not allowed
50	Column added!	Column added!
51	Unique values:	Unique values:
52	Variable to cut:	Variable to cut:
53	Number of breaks:	Number of breaks:
54	Close intervals on the right	Close intervals on the right
55	Include lowest value	Include lowest value
56	Create factor variable	Create factor variable
57	Fixed breaks:	Fixed breaks:
58	Method:	Method:
59	Convert Numeric to Factor	Convert Numeric to Factor
60	Unique:	Unique:
61	Missing:	Missing:
62	Most Common:	Most Common:
63	Min:	Min:
64	Mean:	Mean:
65	Max:	Max:
66	Decimal separator:	Decimal separator:
67	First five rows are shown below:	First five rows are shown below:
68	Imported data	Imported data
69	www/intro.md	www/intro.md
70	Choose your data	Choose your data
71	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.
72	Factor variable to reorder:	Factor variable to reorder:
73	Sort by levels	Sort by levels
74	Sort by count	Sort by count
75	Create a new variable (otherwise replaces the one selected)	Create a new variable (otherwise replaces the one selected)
76	Update factor variable	Update factor variable
77	Sort count	Sort count
78	Levels	Levels
79	Count	Count
80	Update levels of a factor	Update levels of a factor
81	Update & select variables	Update & select variables
82	Date format:	Date format:
83	Date to use as origin to convert date/datetime:	Date to use as origin to convert date/datetime:
84	Apply changes	Apply changes
85	No data to display.	No data to display.
86	Data successfully updated!	Data successfully updated!
87	You removed {p_out} % of observations.	You removed {p_out} % of observations.
88	You removed {p_out} % of variables.	You removed {p_out} % of variables.
89	You can import {file_extensions_text} files	You can import {file_extensions_text} files
90	You can choose between these file types:	You can choose between these file types:
91	Rows to skip before reading data:	Rows to skip before reading data:
92	Missing values character(s):	Missing values character(s):
93	if several use a comma (',') to separate them	if several use a comma (',') to separate them
94	Encoding:	Encoding:
95	Upload a file:	Upload a file:
96	Browse...	Browse...
97	Select sheet to import:	Select sheet to import:
98	No file selected.	No file selected.
99	Evaluate	Evaluate
100	Visuals	Visuals
101	Regression	Regression
102	Download	Download
103	{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.
104	Prepare	Prepare
105	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.
106	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.
107	No variables have a correlation measure above the threshold.	No variables have a correlation measure above the threshold.
108	and	and
109	from each pair	from each pair
110	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.
111	Plot	Plot
112	Adjust settings, then press "Plot".	Adjust settings, then press "Plot".
113	Plot height (mm)	Plot height (mm)
114	Plot width (mm)	Plot width (mm)
115	File format	File format
116	Download plot	Download plot
117	Select variable	Select variable
118	Response variable	Response variable
119	Plot type	Plot type
120	Please select	Please select
121	Additional variables	Additional variables
122	Secondary variable	Secondary variable
123	No variable	No variable
124	Grouping variable	Grouping variable
125	No stratification	No stratification
126	Drawing the plot. Hold tight for a moment..	Drawing the plot. Hold tight for a moment..
127	#Plotting\n	#Plotting\n
128	Stacked horizontal bars	Stacked horizontal bars
129	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
130	Violin plot	Violin plot
131	A modern alternative to the classic boxplot to visualise data distribution	A modern alternative to the classic boxplot to visualise data distribution
132	Sankey plot	Sankey plot
133	A way of visualising change between groups	A way of visualising change between groups
134	Scatter plot	Scatter plot
135	A classic way of showing the association between to variables	A classic way of showing the association between to variables
136	Box plot	Box plot
137	A classic way to plot data distribution by groups	A classic way to plot data distribution by groups
138	Euler diagram	Euler diagram
139	Generate area-proportional Euler diagrams to display set relationships	Generate area-proportional Euler diagrams to display set relationships
140	Documentation	Documentation
141	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.
142	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.
143	Feedback	Feedback
144	License: AGPLv3	License: AGPLv3
145	Source	Source
146	Data includes {n_pairs} pairs of highly correlated variables.	Data includes {n_pairs} pairs of highly correlated variables.
147	Create plot	Create plot
148	Coefficients plot	Coefficients plot
149	Checks	Checks
150	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.
151	Browse observations	Browse observations
152	Settings	Settings
153	The following error occured on determining correlations:	The following error occured on determining correlations:
154	We encountered the following error creating your report:	We encountered the following error creating your report:
155	No variable chosen for analysis	No variable chosen for analysis
156	No missing observations	No missing observations
157	Missing vs non-missing observations in the variable **'{variabler()}'**	Missing vs non-missing observations in the variable **'{variabler()}'**
158	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}.
159	There is a total of {p_miss} % missing observations.	There is a total of {p_miss} % missing observations.
160	Median:	Median:
161	Restore original data	Restore original data
162	Reset to original imported dataset. Careful! There is no un-doing.	Reset to original imported dataset. Careful! There is no un-doing.
163	Characteristics	Characteristics
164	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.
165	Compare strata?	Compare strata?
166	Correlations	Correlations
167	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'.
168	Correlation cut-off	Correlation cut-off
169	Set the cut-off for considered 'highly correlated'.	Set the cut-off for considered 'highly correlated'.
170	Missings	Missings
171	Class	Class
172	Observations	Observations
173	Data classes and missing observations	Data classes and missing observations
174	Sure you want to reset data? This cannot be undone.	Sure you want to reset data? This cannot be undone.
175	Cancel	Cancel
176	Confirm	Confirm
177	The filtered data	The filtered data
178	Create new factor	Create new factor
179	This window is aimed at advanced users and require some *R*-experience!	This window is aimed at advanced users and require some *R*-experience!
180	Create new variables	Create new variables
181	Select data types to include	Select data types to include
182	Uploaded data overview	Uploaded data overview
183	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.
184	Specify covariables	Specify covariables
185	If none are selected, all are included.	If none are selected, all are included.
186	Analyse	Analyse
187	Working...	Working...
188	Press 'Analyse' to create the regression model and after changing parameters.	Press 'Analyse' to create the regression model and after changing parameters.
189	Show p-value	Show p-value
190	Model checks	Model checks
191	Please confirm data reset!	Please confirm data reset!
192	Import data from REDCap	Import data from REDCap
193	REDCap server	REDCap server
194	Web address	Web address
195	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/'
196	API token	API token
197	The token is a string of 32 numbers and letters.	The token is a string of 32 numbers and letters.
198	Connect	Connect
199	Data import parameters	Data import parameters
200	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
201	Import	Import
202	Click to see data dictionary	Click to see data dictionary
203	Connected to server!	Connected to server!
204	The {data_rv$info$project_title} project is loaded.	The {data_rv$info$project_title} project is loaded.
205	Data dictionary	Data dictionary
206	Preview:	Preview:
207	Imported data set	Imported data set
208	Select fields/variables to import:	Select fields/variables to import:
209	Specify the data format	Specify the data format
210	Fill missing values?	Fill missing values?
211	Requested data was retrieved!	Requested data was retrieved!
212	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.
213	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.
214	Click to see the imported data	Click to see the imported data
215	Regression table	Regression table
216	Import a dataset from an environment	Import a dataset from an environment
217	Select a dataset:	Select a dataset:
218	List of datasets...	List of datasets...
219	No data selected!	No data selected!
220	No dataset here...	No dataset here...
221	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.
222	Not a data.frame	Not a data.frame
223	Select source	Select source
224	Select a data source:	Select a data source:
225	Yes	Yes
226	No	No
227	Coefficient plot	Coefficient plot
228	Select outcome variable	Select outcome variable
229	Choose regression analysis	Choose regression analysis
230	Covariables to format as categorical	Covariables to format as categorical
231	Select variable to stratify baseline	Select variable to stratify baseline
232	Select models to plot	Select models to plot
233	Creating regression models failed with the following error:	Creating regression models failed with the following error:
234	Creating a regression table failed with the following error:	Creating a regression table failed with the following error:
235	Saving the plot. Hold on for a moment..	Saving the plot. Hold on for a moment..
236	Running model assumptions checks failed with the following error:	Running model assumptions checks failed with the following error:
237	Select checks to plot	Select checks to plot
238	Multivariable regression model checks	Multivariable regression model checks
239	Grouped by {get_label(data,ter)}	Grouped by {get_label(data,ter)}
240	Option to perform statistical comparisons between strata in baseline table.	Option to perform statistical comparisons between strata in baseline table.
241	Press 'Evaluate' to create the comparison table.	Press 'Evaluate' to create the comparison table.
242	The data includes {n_col} variables. Please limit to 100.	The data includes {n_col} variables. Please limit to 100.
243	Data import	Data import
244	Data import formatting	Data import formatting
245	Data modifications	Data modifications
246	Variables filter	Variables filter
247	Data filter	Data filter
248	Data characteristics table	Data characteristics table
249	The dataset without text variables	The dataset without text variables
250	Creating the table. Hold on for a moment..	Creating the table. Hold on for a moment..
251	Select variable to stratify analysis	Select variable to stratify analysis
252	Generating the report. Hold on for a moment..	Generating the report. Hold on for a moment..
253	We encountered the following error showing missingness:	We encountered the following error showing missingness:
254	We encountered the following error browsing your data:	We encountered the following error browsing your data:
255	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.
256	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.
257	Please fill in web address and API token, then press 'Connect'.	Please fill in web address and API token, then press 'Connect'.