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	Choose a name for the column to be created or modified,	Choose a name for the column to be created or modified,
48	then enter an expression before clicking on the button above to validate or on	then enter an expression before clicking on the button above to validate or on
49	to delete it.	to delete it.
50	New column name cannot be empty	New column name cannot be empty
51	Create a new column	Create a new column
52	Some operations are not allowed	Some operations are not allowed
53	Column added!	Column added!
54	Unique values:	Unique values:
55	Variable to cut:	Variable to cut:
56	Number of breaks:	Number of breaks:
57	Close intervals on the right	Close intervals on the right
58	Include lowest value	Include lowest value
59	Create factor variable	Create factor variable
60	Fixed breaks:	Fixed breaks:
61	Method:	Method:
62	Convert Numeric to Factor	Convert Numeric to Factor
63	Unique:	Unique:
64	Missing:	Missing:
65	Most Common:	Most Common:
66	Min:	Min:
67	Mean:	Mean:
68	Max:	Max:
69	Decimal separator:	Decimal separator:
70	First five rows are shown below:	First five rows are shown below:
71	Imported data	Imported data
72	www/intro.md	www/intro.md
73	Choose your data	Choose your data
74	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.
75	Factor variable to reorder:	Factor variable to reorder:
76	Sort by levels	Sort by levels
77	Sort by count	Sort by count
78	Create a new variable (otherwise replaces the one selected)	Create a new variable (otherwise replaces the one selected)
79	Update factor variable	Update factor variable
80	Sort count	Sort count
81	Levels	Levels
82	Count	Count
83	Update levels of a factor	Update levels of a factor
84	Update & select variables	Update & select variables
85	Date format:	Date format:
86	Date to use as origin to convert date/datetime:	Date to use as origin to convert date/datetime:
87	Apply changes	Apply changes
88	No data to display.	No data to display.
89	Data successfully updated!	Data successfully updated!
90	You removed {p_out} % of observations.	You removed {p_out} % of observations.
91	You removed {p_out} % of variables.	You removed {p_out} % of variables.
92	You can import {file_extensions_text} files	You can import {file_extensions_text} files
93	You can choose between these file types:	You can choose between these file types:
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	Encoding:	Encoding:
98	Upload a file:	Upload a file:
99	Browse...	Browse...
100	Select sheet to import:	Select sheet to import:
101	No file selected.	No file selected.
102	Evaluate	Evaluate
103	Visuals	Visuals
104	Regression	Regression
105	Download	Download
106	{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.
107	Prepare	Prepare
108	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.
109	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.
110	No variables have a correlation measure above the threshold.	No variables have a correlation measure above the threshold.
111	and	and
112	from each pair	from each pair
113	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.
114	Plot	Plot
115	Adjust settings, then press "Plot".	Adjust settings, then press "Plot".
116	Plot height (mm)	Plot height (mm)
117	Plot width (mm)	Plot width (mm)
118	File format	File format
119	Download plot	Download plot
120	Select variable	Select variable
121	Response variable	Response variable
122	Plot type	Plot type
123	Please select	Please select
124	Additional variables	Additional variables
125	Secondary variable	Secondary variable
126	No variable	No variable
127	Grouping variable	Grouping variable
128	No stratification	No stratification
129	Drawing the plot. Hold tight for a moment..	Drawing the plot. Hold tight for a moment..
130	#Plotting\n	#Plotting\n
131	Stacked horizontal bars	Stacked horizontal bars
132	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
133	Violin plot	Violin plot
134	A modern alternative to the classic boxplot to visualise data distribution	A modern alternative to the classic boxplot to visualise data distribution
135	Sankey plot	Sankey plot
136	A way of visualising change between groups	A way of visualising change between groups
137	Scatter plot	Scatter plot
138	A classic way of showing the association between to variables	A classic way of showing the association between to variables
139	Box plot	Box plot
140	A classic way to plot data distribution by groups	A classic way to plot data distribution by groups
141	Euler diagram	Euler diagram
142	Generate area-proportional Euler diagrams to display set relationships	Generate area-proportional Euler diagrams to display set relationships
143	Documentation	Documentation
144	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.
145	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.
146	Feedback	Feedback
147	License: AGPLv3	License: AGPLv3
148	Source	Source
149	Data includes {n_pairs} pairs of highly correlated variables.	Data includes {n_pairs} pairs of highly correlated variables.
150	Create plot	Create plot
151	Coefficients plot	Coefficients plot
152	Checks	Checks
153	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.
154	Browse observations	Browse observations
155	Settings	Settings
156	The following error occured on determining correlations:	The following error occured on determining correlations:
157	We encountered the following error creating your report:	We encountered the following error creating your report:
158	No variable chosen for analysis	No variable chosen for analysis
159	No missing observations	No missing observations
160	Missing vs non-missing observations in the variable **'{variabler()}'**	Missing vs non-missing observations in the variable **'{variabler()}'**
161	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}.
162	There is a total of {p_miss} % missing observations.	There is a total of {p_miss} % missing observations.