FreesearchR/inst/translations/translation_da.csv

1	en	da
2	Hello	Hej
3	Get started	Kom i gang
4	File upload	Upload fil
5	REDCap server export	REDCap server export
6	Local or sample data	Lokal eller testdata
7	Please be mindfull handling sensitive data	Pas godt på og overvej nøje hvordan du håndterer personfølsomme 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).	***FreesearchR*** opbevarer alene data i forbindelse med din analyse, men du bør kun behandle personfølsomme data når du kører ***FreesearchR*** direkte på din egen maskine. [Læs mere her](https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine).
9	Quick overview	Hurtigt overblik
10	Select variables for final import	Vælg variabler til den endelige import
11	Exclude incomplete variables:	Ekskluder inkomplette variabler:
12	Manual selection:	Manuel udvælgelse:
13	Let's begin!	Kom i gang!
14	Analysis validation	Analysevalidering
15	Report	Rapport
16	Choose your favourite output file format for further work, and download, when the analyses are done.	Vælge dit foretrukne dataformat, og hent data, når du er ærdig med databehandlingen.
17	www/intro.html	www/intro_da.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><em><strong>FreesearchR</strong></em> opbevarer alene data i forbindelse med din analyse, men du bør kun behandle personfølsomme data når du kører <em><strong>FreesearchR</strong></em> direkte på dine egen maskine. <a href='https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine'>Læs mere her</a></p>
19	Overview and filter	Overblik og filtre
20	Overview and filtering	Overblik og filtrering
21	Visual overview	Visuelt overblik
22	Filter data types	Filtrer datatyper
23	Filter observations	Filtrer observationer
24	Apply filter on observation	Anvend filtre af observationer
25	Edit and create data	Ændr og opret variabler
26	Subset, rename and convert variables	Udvælg, omdøb og konverter variabler
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	Avanceret datamanipulation
31	Below options allow more advanced varaible manipulations.	Below options allow more advanced varaible manipulations.
32	Reorder factor levels	Arranger niveuer i faktor
33	Reorder the levels of factor/categorical variables.	Reorder the levels of factor/categorical variables.
34	New factor	Ny faktor
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	Ny variabel
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:	Ændret data:
42	New column name:	Navn til ny variabel:
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	Updater faktor-variabel
80	Sort count	Sorter antal
81	Levels	Niveauer
82	Count	Antal
83	Update levels of a factor	Updater niveauerne for en faktor
84	Update & select variables	Update & select variables
85	Date format:	Datoformat:
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.	Ingen data at vise.
89	Data successfully updated!	Data er opdateret!
90	You removed {p_out} % of observations.	Du har fjernet {p_out} % af observationerne.
91	You removed {p_out} % of variables.	Du har fjernet {p_out} % af variablerne.
92	You can import {file_extensions_text} files	Du kan vælge mellem disse filtyper: {file_extensions_text}.
93	You can choose between these file types:	Du kan vælge mellem følgene filtyper:
94	Rows to skip before reading data:	Rækker der skal springes over:
95	Missing values character(s):	Tegn for manglende værdier:
96	if several use a comma (',') to separate them	if several use a comma (',') to separate them
97	Encoding:	Kodning:
98	Upload a file:	Upload en fil:
99	Browse...	Vælg...
100	Select sheet to import:	Vælg ark:
101	No file selected.	Ingen fil valgt.
102	Evaluate	Evaluer
103	Visuals	Grafik
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} har {n} observationer og {n_var} variabler, med {n_complete} ({p_complete} %) komplette cases.
107	Prepare	Forbered
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.	Ingen variabler er korrelerede over den angivne tærskelværdi.
111	and	og
112	from each pair	fra hvert par
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	Tegn
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 grafik
120	Select variable	Vælg variabel
121	Response variable	Svarvariable
122	Plot type	Type af grafik
123	Please select	Vælg
124	Additional variables	Yderligere variabler
125	Secondary variable	Sekundær variabel
126	No variable	Ingen variabel
127	Grouping variable	Variabel til gruppering
128	No stratification	Ingen stratificering
129	Drawing the plot. Hold tight for a moment..	Tegner grafikken. Spænd selen..
130	#Plotting\n	#Tegner\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	Eulerdiagram
142	Generate area-proportional Euler diagrams to display set relationships	Generate area-proportional Euler diagrams to display set relationships
143	Documentation	Dokumentation
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	Licens: AGPLv3
148	Source	Kilde
149	There are {p_miss} % missing observations.	There are {p_miss} % missing observations.
150	Data includes {n_pairs} pairs of highly correlated variables.	Der er {n_pairs} variabel-par, der er stærkt internt korrelerede.
151	Create plot	Dan grafik
152	Coefficients plot	Koefficientgraf
153	Checks	Checks
154	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.
155	Browse observations	Gennemse observationer
156	Settings	Indstillinger
157	The following error occured on determining correlations:	The following error occured on determining correlations:
158	We encountered the following error creating your report:	We encountered the following error creating your report:
159	No variable chosen for analysis	No variable chosen for analysis
160	No missing observations	No missing observations
161	Missing vs non-missing observations in the variable **'{variabler()}'**	Missing vs non-missing observations in the variable **'{variabler()}'**
162	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}.