FreesearchR/inst/translations/translation_sw.csv

1	en	sw
2	Hello	Habari
3	Get started	Tuanze!
4	Please be mindfull handling sensitive data	Tafadhali kuwa mwangalifu kushughulikia data nyeti
5	Quick overview	Muhtasari wa haraka
6	Select variables for final import	Chagua vigezo vya kuingiza mwisho
7	Exclude incomplete variables:	Ondoa vigezo visivyokamilika:
8	Manual selection:	Uchaguzi wa mikono:
9	Let's begin!	Tuanze!
10	Analysis validation	Uthibitisho wa uchambuzi
11	Report	Ripoti
12	Choose your favourite output file format for further work, and download, when the analyses are done.	Chagua umbizo la faili ya matokeo unayopenda kwa kazi zaidi, na upakue, uchambuzi utakapokamilika.
13	www/intro.html	www/utangulizi.html
14	<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>Programu ya <em><strong>FreesearchR</strong></em> huhifadhi data kwa ajili ya uchambuzi pekee, lakini tafadhali tumia tu na data nyeti unapoendesha ndani. <a href='https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine'>Soma zaidi hapa</a></p>
15	Overview and filter	Muhtasari na kichujio
16	Overview and filtering	Muhtasari na uchujaji
17	Visual overview	Muhtasari wa kuona
18	Filter data types	Chuja aina za data
19	Filter observations	Uchunguzi wa vichujio
20	Apply filter on observation	Tumia kichujio wakati wa uchunguzi
21	Edit and create data	Hariri na uunde data
22	Subset, rename and convert variables	Weka sehemu ndogo, badilisha jina na ubadilishe vigezo
23	Advanced data manipulation	Udhibiti wa data wa hali ya juu
24	Below options allow more advanced varaible manipulations.	Chaguzi zilizo hapa chini huruhusu udanganyifu wa hali ya juu zaidi unaoweza kubadilika.
25	New factor	Kipengele kipya
26	New variable	Kigezo kipya
27	Compare modified data to original	Linganisha data iliyobadilishwa na ya asili
28	Original data:	Data asilia:
29	Modified data:	Data iliyorekebishwa:
30	New column name:	Jina jipya la safu wima:
31	Group calculation by:	Hesabu ya kikundi kwa:
32	Enter an expression to define new column:	Ingiza usemi ili kufafanua safu wima mpya:
33	Click on a column name to add it to the expression:	Bofya jina la safu wima ili kuliongeza kwenye usemi:
34	Create column	Unda safu wima
35	New column name cannot be empty	Jina jipya la safu wima haliwezi kuwa tupu
36	Create a new column	Unda safu wima mpya
37	Some operations are not allowed	Baadhi ya shughuli haziruhusiwi
38	Column added!	Safu wima imeongezwa!
39	Unique values:	Thamani za kipekee:
40	Variable to cut:	Inaweza kubadilishwa kwa kukata:
41	Close intervals on the right	Funga vipindi upande wa kulia
42	Include lowest value	Jumuisha thamani ya chini kabisa
43	Create factor variable	Unda kigezo cha vipengele
44	Fixed breaks:	Mapumziko yasiyobadilika:
45	Method:	Mbinu:
46	Convert Numeric to Factor	Badilisha Nambari kuwa Kipengele
47	Unique:	Kipekee:
48	Missing:	Haipo:
49	Most Common:	Ya Kawaida Zaidi:
50	Min:	Kiwango cha chini:
51	Mean:	Wastani:
52	Max:	Kiwango cha juu zaidi:
53	Decimal separator:	Kitenganishi cha desimali:
54	First five rows are shown below:	Safu tano za kwanza zinaonyeshwa hapa chini:
55	Imported data	Data iliyoingizwa
56	www/intro.md	www/intro.md
57	Choose your data	Chagua data yako
58	Sort by levels	Panga kwa viwango
59	Sort by count	Panga kwa hesabu
60	Update factor variable	Sasisha kigezo cha kipengele
61	Levels	Viwango
62	Count	Hesabu
63	Update levels of a factor	Sasisha viwango vya kipengele
64	Update & select variables	Sasisha na uchague vigezo
65	Date format:	Muundo wa tarehe:
66	Date to use as origin to convert date/datetime:	Tarehe ya kutumia kama asili ya kubadilisha tarehe/tarehe:
67	Apply changes	Tumia mabadiliko
68	No data to display.	Hakuna data ya kuonyesha.
69	Data successfully updated!	Data imesasishwa kwa mafanikio!
70	You removed {p_out} % of observations.	Umeondoa {p_out} % ya uchunguzi.
71	You removed {p_out} % of variables.	Umeondoa {p_out} % ya vigezo.
72	You can import {file_extensions_text} files	Unaweza kuingiza faili za {file_extensions_text}
73	You can choose between these file types:	Unaweza kuchagua kati ya aina hizi za faili:
74	Rows to skip before reading data:	Safu za kuruka kabla ya kusoma data:
75	Missing values character(s):	Herufi za thamani zinazokosekana:
76	if several use a comma (',') to separate them	ikiwa kadhaa hutumia koma (',') kuwatenganisha
77	Encoding:	Usimbaji:
78	Upload a file:	Pakia faili:
79	Browse...	Vinjari...
80	Select sheet to import:	Chagua laha ya kuingiza:
81	No file selected.	Hakuna faili iliyochaguliwa.
82	Evaluate	Tathmini
83	Visuals	Picha
84	Regression	Urejeshaji
85	Download	Pakua
86	Prepare	Tayarisha
87	The following variable pairs are highly correlated: {sentence_paste(.x,and_str)}.\nConsider excluding one {more}from the dataset to ensure variables are independent.	Jozi zifuatazo za vigeu zina uhusiano wa hali ya juu: {sentence_paste(.x,and_str)}.\nFikiria kutenga moja {zaidi} kutoka kwenye seti ya data ili kuhakikisha vigeu vinajitegemea.
88	No variables have a correlation measure above the threshold.	Hakuna vigezo vyenye kipimo cha uhusiano kilicho juu ya kizingiti.
89	and	na
90	from each pair	kutoka kwa kila jozi
91	Plot	Kipande cha habari
92	Plot height (mm)	Urefu wa kiwanja (mm)
93	Plot width (mm)	Upana wa kiwanja (mm)
94	File format	Umbizo la faili
95	Download plot	Pakua njama
96	Select variable	Chagua kigezo
97	Response variable	Kigezo cha majibu
98	Plot type	Aina ya kiwanja
99	No variable	Hakuna kigezo
100	Drawing the plot. Hold tight for a moment..	Kuchora njama. Shikilia kwa muda..
101	#Plotting\n	#Upangaji\n
102	Stacked horizontal bars	Pau za mlalo zilizopangwa kwa mpangilio
103	Violin plot	Hadithi ya violin
104	Sankey plot	Njama ya Sankey
105	A way of visualising change between groups	Njia ya kuibua mabadiliko kati ya vikundi
106	Scatter plot	Njama ya kutawanya
107	A classic way of showing the association between to variables	Njia ya kawaida ya kuonyesha uhusiano kati ya vigezo
108	Box plot	Kipande cha sanduku
109	A classic way to plot data distribution by groups	Njia ya kawaida ya kupanga usambazaji wa data kwa vikundi
110	Euler diagram	Mchoro wa Euler
111	Documentation	Nyaraka
112	Data is only stored for analyses and deleted when the app is closed.	Data huhifadhiwa kwa ajili ya uchambuzi na kufutwa tu wakati programu imefungwa.
113	Feedback	Maoni
114	License: AGPLv3	Leseni: AGPLv3
115	Source	Chanzo
116	Data includes {n_pairs} pairs of highly correlated variables.	Data inajumuisha jozi {n_pairs} za vigeu vinavyohusiana sana.
117	Create plot	Unda njama
118	Coefficients plot	Mchoro wa viambato
119	Checks	Hundi
120	Browse observations	Vinjari uchunguzi
121	The following error occured on determining correlations:	Hitilafu ifuatayo ilitokea katika kubaini uhusiano:
122	No missing observations	Hakuna uchunguzi unaokosekana
123	There is a total of {p_miss} % missing observations.	Kuna jumla ya uchunguzi wa {p_miss}% unaokosekana.
124	Median:	Wastani:
125	Restore original data	Rejesha data asili
126	Characteristics	Sifa
127	Compare strata?	Linganisha tabaka?
128	Correlations	Uhusiano
129	Correlation cut-off	Kikomo cha uhusiano
130	Missings	Hazipo
131	Class	Darasa
132	Observations	Uchunguzi
133	Cancel	Ghairi
134	Specify covariables	Bainisha vigeu vinavyoweza kuunganishwa
135	If none are selected, all are included.	Ikiwa hakuna aliyechaguliwa, wote wamejumuishwa.
136	Analyse	Changanua
137	Working...	Inafanya kazi...
138	Press 'Analyse' to create the regression model and after changing parameters.	Bonyeza 'Changanua' ili kuunda modeli ya urejeshaji na baada ya kubadilisha vigezo.
139	Show p-value	Onyesha thamani ya p
140	Model checks	Ukaguzi wa modeli
141	Import data from REDCap	Ingiza data kutoka REDCap
142	REDCap server	Seva ya REDCap
143	Web address	Anwani ya wavuti
144	API token	Tokeni ya API
145	Connect	Unganisha
146	Data import parameters	Vigezo vya kuingiza data
147	Import	Ingiza
148	Click to see data dictionary	Bofya ili kuona kamusi ya data
149	Connected to server!	Imeunganishwa na seva!
150	Data dictionary	Kamusi ya data
151	Preview:	Hakikisho:
152	Imported data set	Seti ya data iliyoingizwa
153	Select fields/variables to import:	Chagua sehemu/vigezo vya kuingiza:
154	Specify the data format	Bainisha umbizo la data
155	Fill missing values?	Jaza thamani zinazokosekana?
156	Requested data was retrieved!	Data iliyoombwa ilipatikana!
157	Click to see the imported data	Bofya ili kuona data iliyoingizwa
158	Regression table	Jedwali la urejeshaji
159	Import a dataset from an environment	Ingiza seti ya data kutoka kwa mazingira
160	Select a dataset:	Chagua seti ya data:
161	List of datasets...	Orodha ya seti za data...
162	No data selected!	Hakuna data iliyochaguliwa!
163	No dataset here...	Hakuna seti ya data hapa...
164	Not a data.frame	Sio data.frame
165	Select source	Chagua chanzo
166	Select a data source:	Chagua chanzo cha data:
167	Yes	Ndiyo
168	No	Hapana
169	Coefficient plot	Mchoro wa mgawo
170	Select outcome variable	Chagua kigezo cha matokeo
171	Choose regression analysis	Chagua uchanganuzi wa marejeleo
172	Covariables to format as categorical	Vigezo vinavyoweza kubadilishwa ili viundwe kama vya kategoria
173	Select variable to stratify baseline	Chagua kigezo ili kuweka tabaka la msingi
174	Select models to plot	Chagua mifano ya kuchora
175	Creating regression models failed with the following error:	Kuunda mifumo ya urejeshaji kumeshindwa kutokana na hitilafu ifuatayo:
176	Creating a regression table failed with the following error:	Kuunda jedwali la urejelezaji kulishindwa kutokana na hitilafu ifuatayo:
177	Saving the plot. Hold on for a moment..	Kuhifadhi njama. Subiri kwa muda..
178	Running model assumptions checks failed with the following error:	Kuendesha ukaguzi wa mawazo ya modeli kulishindwa na hitilafu ifuatayo:
179	Select checks to plot	Chagua ukaguzi wa kupanga
180	Multivariable regression model checks	Ukaguzi wa modeli ya urejeshaji unaoweza kubadilika-badilika
181	Grouped by {get_label(data,ter)}	Imepangwa kwa makundi kulingana na {get_label(data,ter)}
182	Option to perform statistical comparisons between strata in baseline table.	Chaguo la kufanya ulinganisho wa takwimu kati ya tabaka katika jedwali la msingi.
183	Generating the report. Hold on for a moment..	Inazalisha ripoti. Subiri kidogo..
184	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.	Chagua jina la safu wima itakayoundwa au kurekebishwa, kisha ingiza usemi kabla ya kubofya kitufe kilicho hapa chini ili kuunda kigezo, au ghairi ili kutoka bila kuhifadhi chochote.
185	Other	Nyingine
186	Hour of the day	Saa ya siku
187	Breaks	Mapumziko
188	By day of the week	Kwa siku ya wiki
189	By weekday	Kufikia siku ya wiki
190	By week number and year	Kwa idadi ya wiki na mwaka
191	By week number	Kwa nambari ya wiki
192	By month and year	Kwa mwezi na mwaka
193	By month only	Kwa mwezi pekee
194	By quarter of the year	Kufikia robo ya mwaka
195	By year	Kwa mwaka
196	Keep only most common	Weka pekee ya kawaida
197	Number	Nambari
198	Combine below percentage	Changanya chini ya asilimia
199	Percentage	Asilimia
200	By specified numbers	Kwa nambari zilizoainishwa
201	By quantiles (groups of equal size)	Kwa quantiles (vikundi vya ukubwa sawa)
202	Please fill in web address and API token, then press 'Connect'.	Tafadhali jaza anwani ya wavuti na tokeni ya API, kisha bonyeza 'Unganisha'.
203	Text or character to split string by	Maandishi au herufi ya kugawanya mfuatano kwa
204	Split the variable	Gawanya kigezo
205	Variable to split:	Kinachoweza kubadilika hadi kugawanyika:
206	Direction:	Mwelekeo:
207	Split string to multiple columns. Keep number of rows.	Gawanya mfuatano katika safu wima nyingi. Weka idadi ya safu wima.
208	Split string to multiple observations (rows) in the same column. Also ads id and instance columns	Gawanya mfuatano katika uchunguzi mwingi (safu) katika safu wima moja. Pia vitambulisho vya matangazo na safu wima za mfano
209	Split character string	Gawanya mfuatano wa herufi
210	Split text	Gawanya maandishi
211	Select delimiter	Chagua kidhibiti
212	Browse data preview	Vinjari hakikisho la data
213	Original data	Data asili
214	Preview of result	Hakikisho la matokeo
215	No character variables with accepted delimiters detected.	Hakuna vigezo vya herufi vilivyo na vidhibiti vinavyokubalika vilivyogunduliwa.
216	Apply split	Tumia mgawanyiko
217	Stacked relative barplot	Kipande cha baruni kilichopangwa kwa mirundiko
218	Side-by-side barplot	Kipande cha baruni cha kando kwa kando
219	Select table theme	Chagua mandhari ya jedwali
220	Letters	Barua
221	Words	Maneno
222	Shorten to first letters	Fupisha herufi za kwanza
223	Shorten to first words	Fupisha maneno ya kwanza
224	Calculating. Hold tight for a moment..	Kuhesabu. Shikilia kwa muda..
225	Overview of missing observations	Muhtasari wa uchunguzi uliokosekana
226	Analysis method for missingness overview	Mbinu ya uchambuzi wa muhtasari wa kukosekana
227	Overview of missings across variables	Muhtasari wa mambo yanayokosekana katika vigezo
228	Select a variable for grouped overview	Chagua kigezo cha muhtasari wa kikundi
229	Select outcome variable for overview	Chagua kigezo cha matokeo kwa muhtasari
230	No outcome measure chosen	Hakuna kipimo cha matokeo kilichochaguliwa
231	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}.	Kuna tofauti kubwa katika ukosefu wa data katika {n_nonmcar} {ifelse(n_nonmcar==1,'variable','variables')} zilizopangwa kwa mujibu wa kigezo kilichochaguliwa cha matokeo/upangaji {outcome}.
232	Include group differences	Jumuisha tofauti za vikundi
233	Error:	Hitilafu:
234	Download table	Pakua jedwali
235	Welcome to FreesearchR	Karibu kwenye FreesearchR
236	A free data analysis tool for clinicians, students, and learners	Zana ya uchambuzi wa data bila malipo kwa madaktari, wanafunzi, na wanafunzi
237	Core Features	Vipengele vya Msingi
238	Import Data	Ingiza Data
239	Data Management	Usimamizi wa Data
240	Filter, modify, and create new variables. Prepare your data efficiently for analysis.	Chuja, rekebisha, na uunde vigeu vipya. Tayarisha data yako kwa ufanisi kwa ajili ya uchambuzi.
241	Descriptive Statistics	Takwimu za Maelezo
242	Additional Capabilities	Uwezo wa Ziada
243	Data Visualization	Uonyeshaji wa Data
244	Create simple, clean plots for quick insights and overview	Unda michoro rahisi na safi kwa ajili ya maarifa ya haraka na muhtasari
245	Regression Models	Mifumo ya Urejeshaji
246	Build simple regression models for advanced analysis	Jenga mifumo rahisi ya urejelezaji kwa ajili ya uchambuzi wa hali ya juu
247	Export & Learn	Hamisha na Ujifunze
248	Download Results	Pakua Matokeo
249	Get Modified Data	Pata Data Iliyorekebishwa
250	Reproducible Code	Nambari Inayoweza Kurudiwa
251	Full Documentation	Nyaraka Kamili
252	Share Feedback	Shiriki Maoni
253	Contact Us	Wasiliana Nasi
254	FreesearchR is available in multiple languages. To help with translations, please contact us at info@freesearchr.org	FreesearchR inapatikana katika lugha nyingi. Ili kukusaidia na tafsiri, tafadhali wasiliana nasi kwa info@freesearchr.org.
255	Home	Nyumbani
256	Start with FreesearchR for basic data evaluation and analysis.	Anza na FreesearchR kwa tathmini na uchambuzi wa data ya msingi.
257	(Read more)	(Soma zaidi)
258	Run the FreesearchR app locally when working with sensitive data.	Endesha programu ya FreesearchR ndani ya eneo lako unapofanya kazi na data nyeti.
259	Load data from spreadsheets, REDCap servers, or try with sample data. Multiple sources supported for maximum flexibility.	Pakia data kutoka kwa lahajedwali, seva za REDCap, au jaribu na data ya sampuli. Vyanzo vingi vinaungwa mkono kwa unyumbufu wa hali ya juu.
260	Evaluate data with descriptive analyses, inspect correlations, and review missing observations effectively.	Tathmini data kwa kutumia uchambuzi wa maelezo, kagua uhusiano, na uhakiki uchunguzi unaokosekana kwa ufanisi.
261	Export results directly to your text editor	Hamisha matokeo moja kwa moja kwenye kihariri chako cha maandishi
262	Save your processed datasets for later	Hifadhi seti zako za data zilizosindikwa kwa ajili ya baadaye
263	Learn and reproduce results in R	Jifunze na uzalishe matokeo katika R
264	When you need more advanced tools, you'll be prepared to use R directly.	Unapohitaji zana za hali ya juu zaidi, utakuwa tayari kutumia R moja kwa moja.
265	The app contains a selelct number of features and will guide you through key analyses.	The app contains a selelct number of features and will guide you through key analyses.
266	Sort by Levels	Sort by Levels
267	Maximum number of observations:	Maximum number of observations:
268	setting to 0 includes all	setting to 0 includes all
269	Select a dataset from your environment or sample dataset from a package.	Select a dataset from your environment or sample dataset from a package.
270	Select a sample dataset from a package.	Select a sample dataset from a package.
271	Data ready to be imported!	Data ready to be imported!
272	Data successfully imported!	Data successfully imported!
273	Click to see data	Click to see data
274	No data present.	No data present.
275	You have provided a complete dataset with no missing values.	You have provided a complete dataset with no missing values.
276	Start by loading data.	Start by loading data.
277	Data classes and missing observations	Data classes and missing observations
278	We encountered the following error showing missingness:	We encountered the following error showing missingness:
279	Please confirm data reset!	Please confirm data reset!
280	Sure you want to reset data? This cannot be undone.	Sure you want to reset data? This cannot be undone.
281	Confirm	Confirm
282	The filtered data	The filtered data
283	Reorder factor levels	Reorder factor levels
284	Split a character string by a common delimiter	Split a character string by a common delimiter
285	Create new variables	Create new variables
286	Select data types to include	Select data types to include
287	Uploaded data overview	Uploaded data overview
288	We encountered the following error browsing your data:	We encountered the following error browsing your data:
289	Data import	Data import
290	Data import formatting	Data import formatting
291	Data modifications	Data modifications
292	Variables filter	Variables filter
293	Data filter	Data filter
294	Data characteristics table	Data characteristics table
295	Level of detail	Level of detail
296	Minimal	Minimal
297	Extensive	Extensive
298	The dataset without text variables	The dataset without text variables
299	The data includes {n_col} variables. Please limit to 100.	The data includes {n_col} variables. Please limit to 100.
300	Creating the table. Hold on for a moment..	Creating the table. Hold on for a moment..
301	File upload	File upload
302	REDCap server export	REDCap server export
303	Local or sample data	Local or sample data
304	Sample data	Sample data
305	Settings	Settings
306	Create new factor	Create new factor
307	Optional filter logic (e.g., ⁠[gender] = 'female')	Optional filter logic (e.g., ⁠[gender] = 'female')
308	Drop empty	Drop empty
309	Choose variable:	Choose variable:
310	An empty data set was imported. Please review data filter.	An empty data set was imported. Please review data filter.
311	An error was encountered exporting data. Please review data filter.	An error was encountered exporting data. Please review data filter.
312	Likert diagram	Likert diagram
313	Modify factor	Modify factor
314	Create factor/categorical variable from other variables.	Create factor/categorical variable from other variables.
315	The data set has %s obs. in %s variables.	The data set has %s obs. in %s variables.
316	Adjust plot input and settings below, then press "Plot".	Adjust plot input and settings below, then press "Plot".
317	Define plot	Define plot
318	Choose color palette	Choose color palette
319	Additional variable	Additional variable
320	Grouping variable	Grouping variable
321	Secondary variable	Secondary variable
322	Reverse colors	Reverse colors
323	Plot survey results	Plot survey results
324	Additional variables	Additional variables
325	Other variables	Other variables