FreesearchR/app_docker/translations/translation_sw.csv

1	en	sw
2	Hello	Habari
3	Get started	Tuanze!
4	File upload	Upakiaji wa faili
5	REDCap server export	Usafirishaji wa seva ya REDCap
6	Local or sample data	Data ya ndani au ya sampuli
7	Please be mindfull handling sensitive data	Tafadhali kuwa mwangalifu kushughulikia data nyeti
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).	Programu ya ***FreesearchR*** huhifadhi data kwa ajili ya uchambuzi pekee, lakini tafadhali tumia tu na data nyeti unapoendesha ndani. [Soma zaidi hapa](https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine).
9	Quick overview	Muhtasari wa haraka
10	Select variables for final import	Chagua vigezo vya kuingiza mwisho
11	Exclude incomplete variables:	Ondoa vigezo visivyokamilika:
12	Manual selection:	Uchaguzi wa mikono:
13	Let's begin!	Tuanze!
14	Analysis validation	Uthibitisho wa uchambuzi
15	Report	Ripoti
16	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.
17	www/intro.html	www/utangulizi.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>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>
19	Overview and filter	Muhtasari na kichujio
20	Overview and filtering	Muhtasari na uchujaji
21	Visual overview	Muhtasari wa kuona
22	Filter data types	Chuja aina za data
23	Filter observations	Uchunguzi wa vichujio
24	Apply filter on observation	Tumia kichujio wakati wa uchunguzi
25	Edit and create data	Hariri na uunde data
26	Subset, rename and convert variables	Weka sehemu ndogo, badilisha jina na ubadilishe vigezo
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.).	Hapa chini, kuna chaguo kadhaa za urekebishaji rahisi wa data kama vile kusasisha vigezo kwa kubadilisha majina, kuunda lebo mpya (kwa majedwali mazuri zaidi katika ripoti) na kubadilisha madarasa ya vigezo (nambari, vipengele/kategoria n.k.).
28	Please note that data modifications are applied before any filtering.	Tafadhali kumbuka kwamba marekebisho ya data hutumika kabla ya kuchuja yoyote.
29	Advanced data manipulation	Udhibiti wa data wa hali ya juu
30	Below options allow more advanced varaible manipulations.	Chaguzi zilizo hapa chini huruhusu udanganyifu wa hali ya juu zaidi unaoweza kubadilika.
31	New factor	Kipengele kipya
32	Create factor/categorical variable from a continous variable (number/date/time).	Unda kigezo cha kipengele/kitengo kutoka kwa kigezo endelevu (nambari/tarehe/saa).
33	New variable	Kigezo kipya
34	Create a new variable based on an R-expression.	Unda kigezo kipya kulingana na usemi wa R.
35	Compare modified data to original	Linganisha data iliyobadilishwa na ya asili
36	Raw print of the original vs the modified data.	Chapisho ghafi la data asili dhidi ya data iliyorekebishwa.
37	Original data:	Data asilia:
38	Modified data:	Data iliyorekebishwa:
39	New column name:	Jina jipya la safu wima:
40	Group calculation by:	Hesabu ya kikundi kwa:
41	Enter an expression to define new column:	Ingiza usemi ili kufafanua safu wima mpya:
42	Click on a column name to add it to the expression:	Bofya jina la safu wima ili kuliongeza kwenye usemi:
43	Create column	Unda safu wima
44	New column name cannot be empty	Jina jipya la safu wima haliwezi kuwa tupu
45	Create a new column	Unda safu wima mpya
46	Some operations are not allowed	Baadhi ya shughuli haziruhusiwi
47	Column added!	Safu wima imeongezwa!
48	Unique values:	Thamani za kipekee:
49	Variable to cut:	Inaweza kubadilishwa kwa kukata:
50	Close intervals on the right	Funga vipindi upande wa kulia
51	Include lowest value	Jumuisha thamani ya chini kabisa
52	Create factor variable	Unda kigezo cha vipengele
53	Fixed breaks:	Mapumziko yasiyobadilika:
54	Method:	Mbinu:
55	Convert Numeric to Factor	Badilisha Nambari kuwa Kipengele
56	Unique:	Kipekee:
57	Missing:	Haipo:
58	Most Common:	Ya Kawaida Zaidi:
59	Min:	Kiwango cha chini:
60	Mean:	Wastani:
61	Max:	Kiwango cha juu zaidi:
62	Decimal separator:	Kitenganishi cha desimali:
63	First five rows are shown below:	Safu tano za kwanza zinaonyeshwa hapa chini:
64	Imported data	Data iliyoingizwa
65	www/intro.md	www/intro.md
66	Choose your data	Chagua data yako
67	Upload a file, get data directly from REDCap or use local or sample data.	Pakia faili, pata data moja kwa moja kutoka REDCap au tumia data ya ndani au sampuli.
68	Factor variable to reorder:	Kigezo cha vipengele ili kupanga upya:
69	Sort by levels	Panga kwa viwango
70	Sort by count	Panga kwa hesabu
71	Create a new variable (otherwise replaces the one selected)	Unda kigezo kipya (vinginevyo kinachukua nafasi ya kile kilichochaguliwa)
72	Update factor variable	Sasisha kigezo cha kipengele
73	Levels	Viwango
74	Count	Hesabu
75	Update levels of a factor	Sasisha viwango vya kipengele
76	Update & select variables	Sasisha na uchague vigezo
77	Date format:	Muundo wa tarehe:
78	Date to use as origin to convert date/datetime:	Tarehe ya kutumia kama asili ya kubadilisha tarehe/tarehe:
79	Apply changes	Tumia mabadiliko
80	No data to display.	Hakuna data ya kuonyesha.
81	Data successfully updated!	Data imesasishwa kwa mafanikio!
82	You removed {p_out} % of observations.	Umeondoa {p_out} % ya uchunguzi.
83	You removed {p_out} % of variables.	Umeondoa {p_out} % ya vigezo.
84	You can import {file_extensions_text} files	Unaweza kuingiza faili za {file_extensions_text}
85	You can choose between these file types:	Unaweza kuchagua kati ya aina hizi za faili:
86	Rows to skip before reading data:	Safu za kuruka kabla ya kusoma data:
87	Missing values character(s):	Herufi za thamani zinazokosekana:
88	if several use a comma (',') to separate them	ikiwa kadhaa hutumia koma (',') kuwatenganisha
89	Encoding:	Usimbaji:
90	Upload a file:	Pakia faili:
91	Browse...	Vinjari...
92	Select sheet to import:	Chagua laha ya kuingiza:
93	No file selected.	Hakuna faili iliyochaguliwa.
94	Evaluate	Tathmini
95	Visuals	Picha
96	Regression	Urejeshaji
97	Download	Pakua
98	{data_text} has {n} observations and {n_var} variables, with {n_complete} ({p_complete} %) complete cases.	{data_text} ina uchunguzi wa {n} na vigezo vya {n_var}, pamoja na visa kamili vya {n_complete} ({p_complete}%).
99	Prepare	Tayarisha
100	At 0, only complete variables are included; at 100, all variables are included.	Katika 0, ni vigezo kamili pekee vilivyojumuishwa; katika 100, vigezo vyote vimejumuishwa.
101	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.
102	No variables have a correlation measure above the threshold.	Hakuna vigezo vyenye kipimo cha uhusiano kilicho juu ya kizingiti.
103	and	na
104	from each pair	kutoka kwa kila jozi
105	Only non-text variables are available for plotting. Go the "Data" to reclass data to plot.	Vigezo visivyo vya maandishi pekee ndivyo vinavyopatikana kwa ajili ya kupanga. Nenda kwenye "Data" ili kupanga upya data ili kupanga.
106	Plot	Kipande cha habari
107	Adjust settings, then press "Plot".	Rekebisha mipangilio, kisha bonyeza "Plot".
108	Plot height (mm)	Urefu wa kiwanja (mm)
109	Plot width (mm)	Upana wa kiwanja (mm)
110	File format	Umbizo la faili
111	Download plot	Pakua njama
112	Select variable	Chagua kigezo
113	Response variable	Kigezo cha majibu
114	Plot type	Aina ya kiwanja
115	Please select	Tafadhali chagua
116	Additional variables	Vigezo vya ziada
117	Secondary variable	Kigezo cha pili
118	No variable	Hakuna kigezo
119	Grouping variable	Kigezo cha kuweka katika makundi
120	No stratification	Hakuna matabaka
121	Drawing the plot. Hold tight for a moment..	Kuchora njama. Shikilia kwa muda..
122	#Plotting\n	#Upangaji\n
123	Stacked horizontal bars	Pau za mlalo zilizopangwa kwa mpangilio
124	A classical way of visualising the distribution of an ordinal scale like the modified Ranking Scale and known as Grotta bars	Njia ya kitamaduni ya kuibua usambazaji wa mizani ya kawaida kama vile Mizani ya Nafasi iliyorekebishwa na inayojulikana kama baa za Grotta
125	Violin plot	Hadithi ya violin
126	A modern alternative to the classic boxplot to visualise data distribution	Njia mbadala ya kisasa ya mpangilio wa kisanduku wa kawaida ili kuibua usambazaji wa data
127	Sankey plot	Njama ya Sankey
128	A way of visualising change between groups	Njia ya kuibua mabadiliko kati ya vikundi
129	Scatter plot	Njama ya kutawanya
130	A classic way of showing the association between to variables	Njia ya kawaida ya kuonyesha uhusiano kati ya vigezo
131	Box plot	Kipande cha sanduku
132	A classic way to plot data distribution by groups	Njia ya kawaida ya kupanga usambazaji wa data kwa vikundi
133	Euler diagram	Mchoro wa Euler
134	Generate area-proportional Euler diagrams to display set relationships	Tengeneza michoro ya Euler inayolingana na eneo ili kuonyesha uhusiano uliowekwa
135	Documentation	Nyaraka
136	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.
137	Feedback	Maoni
138	License: AGPLv3	Leseni: AGPLv3
139	Source	Chanzo
140	Data includes {n_pairs} pairs of highly correlated variables.	Data inajumuisha jozi {n_pairs} za vigeu vinavyohusiana sana.
141	Create plot	Unda njama
142	Coefficients plot	Mchoro wa viambato
143	Checks	Hundi
144	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.	Hapa chini kuna jedwali la muhtasari kwa ajili ya ufahamu wa haraka, na upande wa kulia unaweza kuibua madarasa ya data, kuvinjari uchunguzi na kutumia vichujio tofauti vya data.
145	Browse observations	Vinjari uchunguzi
146	Settings	Mipangilio
147	The following error occured on determining correlations:	Hitilafu ifuatayo ilitokea katika kubaini uhusiano:
148	We encountered the following error creating your report:	Tulikutana na hitilafu ifuatayo katika kuunda ripoti yako:
149	No missing observations	Hakuna uchunguzi unaokosekana
150	There is a total of {p_miss} % missing observations.	Kuna jumla ya uchunguzi wa {p_miss}% unaokosekana.
151	Median:	Wastani:
152	Restore original data	Rejesha data asili
153	Reset to original imported dataset. Careful! There is no un-doing.	Rudisha kwenye seti ya data asili iliyoingizwa. Kuwa mwangalifu! Hakuna kutengua.
154	Characteristics	Sifa
155	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.	Vigezo vya vipengele/kategoria pekee ndivyo vinavyopatikana kwa ajili ya uainishaji wa tabaka. Rudi kwenye kichupo cha 'Tayarisha' ili kupanga upya kigezo ikiwa hakipo kwenye orodha.
156	Compare strata?	Linganisha tabaka?
157	Correlations	Uhusiano
158	To avoid evaluating the correlation of the outcome variable, this can be excluded from the plot or select 'none'.	Ili kuepuka kutathmini uhusiano wa kigezo cha matokeo, hii inaweza kutengwa kwenye njama au kuchagua 'hakuna'.
159	Correlation cut-off	Kikomo cha uhusiano
160	Set the cut-off for considered 'highly correlated'.	Weka kikomo cha 'kinachohusiana sana'.
161	Missings	Hazipo
162	Class	Darasa
163	Observations	Uchunguzi
164	Data classes and missing observations	Madarasa ya data na uchunguzi unaokosekana
165	Sure you want to reset data? This cannot be undone.	Una uhakika unataka kuweka upya data? Hii haiwezi kutenduliwa.
166	Cancel	Ghairi
167	Confirm	Thibitisha
168	The filtered data	Data iliyochujwa
169	Create new factor	Unda kipengele kipya
170	This window is aimed at advanced users and require some *R*-experience!	Dirisha hili linalenga watumiaji wa hali ya juu na linahitaji uzoefu wa *R*!
171	Create new variables	Unda vigezo vipya
172	Select data types to include	Chagua aina za data za kujumuisha
173	Uploaded data overview	Muhtasari wa data iliyopakiwa
174	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.	Hapa kuna muhtasari wa jinsi data yako inavyotafsiriwa, na mahali ambapo data inakosekana. Tumia taarifa hii kuzingatia ikiwa data inakosekana bila mpangilio au ikiwa baadhi ya uchunguzi unakosekana kimfumo ambao unaweza kusababishwa na upendeleo wa uchunguzi.
175	Specify covariables	Bainisha vigeu vinavyoweza kuunganishwa
176	If none are selected, all are included.	Ikiwa hakuna aliyechaguliwa, wote wamejumuishwa.
177	Analyse	Changanua
178	Working...	Inafanya kazi...
179	Press 'Analyse' to create the regression model and after changing parameters.	Bonyeza 'Changanua' ili kuunda modeli ya urejeshaji na baada ya kubadilisha vigezo.
180	Show p-value	Onyesha thamani ya p
181	Model checks	Ukaguzi wa modeli
182	Please confirm data reset!	Tafadhali thibitisha urejeshaji wa data!
183	Import data from REDCap	Ingiza data kutoka REDCap
184	REDCap server	Seva ya REDCap
185	Web address	Anwani ya wavuti
186	Format should be either 'https://redcap.your.institution/' or 'https://your.institution/redcap/'	Muundo unapaswa kuwa 'https://redcap.your.institution/' au 'https://your.institution/redcap/'
187	API token	Tokeni ya API
188	The token is a string of 32 numbers and letters.	Tokeni ni mfuatano wa nambari na herufi 32.
189	Connect	Unganisha
190	Data import parameters	Vigezo vya kuingiza data
191	Select fields/variables to import and click the funnel to apply optional filters	Chagua sehemu/vigezo vya kuingiza na ubofye faneli ili kutumia vichujio vya hiari
192	Import	Ingiza
193	Click to see data dictionary	Bofya ili kuona kamusi ya data
194	Connected to server!	Imeunganishwa na seva!
195	The {data_rv$info$project_title} project is loaded.	Mradi wa {data_rv$info$project_title} umepakiwa.
196	Data dictionary	Kamusi ya data
197	Preview:	Hakikisho:
198	Imported data set	Seti ya data iliyoingizwa
199	Select fields/variables to import:	Chagua sehemu/vigezo vya kuingiza:
200	Specify the data format	Bainisha umbizo la data
201	Fill missing values?	Jaza thamani zinazokosekana?
202	Requested data was retrieved!	Data iliyoombwa ilipatikana!
203	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 imerejeshwa, lakini inaonekana ni kitambulisho pekee kilichorejeshwa kutoka kwa seva. Tafadhali wasiliana na msimamizi wako wa REDCap kama una ruhusa zinazohitajika kwa ufikiaji wa data.
204	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 imerejeshwa, lakini inaonekana kama si sehemu zote zilizoombwa zilizorejeshwa kutoka kwa seva. Tafadhali wasiliana na msimamizi wako wa REDCap kama una ruhusa zinazohitajika kwa ufikiaji wa data.
205	Click to see the imported data	Bofya ili kuona data iliyoingizwa
206	Regression table	Jedwali la urejeshaji
207	Import a dataset from an environment	Ingiza seti ya data kutoka kwa mazingira
208	Select a dataset:	Chagua seti ya data:
209	List of datasets...	Orodha ya seti za data...
210	No data selected!	Hakuna data iliyochaguliwa!
211	No dataset here...	Hakuna seti ya data hapa...
212	Use a dataset from your environment or from the environment of a package.	Tumia seti ya data kutoka kwa mazingira yako au kutoka kwa mazingira ya kifurushi.
213	Not a data.frame	Sio data.frame
214	Select source	Chagua chanzo
215	Select a data source:	Chagua chanzo cha data:
216	Yes	Ndiyo
217	No	Hapana
218	Coefficient plot	Mchoro wa mgawo
219	Select outcome variable	Chagua kigezo cha matokeo
220	Choose regression analysis	Chagua uchanganuzi wa marejeleo
221	Covariables to format as categorical	Vigezo vinavyoweza kubadilishwa ili viundwe kama vya kategoria
222	Select variable to stratify baseline	Chagua kigezo ili kuweka tabaka la msingi
223	Select models to plot	Chagua mifano ya kuchora
224	Creating regression models failed with the following error:	Kuunda mifumo ya urejeshaji kumeshindwa kutokana na hitilafu ifuatayo:
225	Creating a regression table failed with the following error:	Kuunda jedwali la urejelezaji kulishindwa kutokana na hitilafu ifuatayo:
226	Saving the plot. Hold on for a moment..	Kuhifadhi njama. Subiri kwa muda..
227	Running model assumptions checks failed with the following error:	Kuendesha ukaguzi wa mawazo ya modeli kulishindwa na hitilafu ifuatayo:
228	Select checks to plot	Chagua ukaguzi wa kupanga
229	Multivariable regression model checks	Ukaguzi wa modeli ya urejeshaji unaoweza kubadilika-badilika
230	Grouped by {get_label(data,ter)}	Imepangwa kwa makundi kulingana na {get_label(data,ter)}
231	Option to perform statistical comparisons between strata in baseline table.	Chaguo la kufanya ulinganisho wa takwimu kati ya tabaka katika jedwali la msingi.
232	Press 'Evaluate' to create the comparison table.	Bonyeza 'Tathmini' ili kuunda jedwali la kulinganisha.
233	The data includes {n_col} variables. Please limit to 100.	Data inajumuisha vigezo vya {n_col}. Tafadhali punguza hadi 100.
234	Data import	Uingizaji wa data
235	Data import formatting	Uumbizaji wa kuingiza data
236	Data modifications	Marekebisho ya data
237	Variables filter	Kichujio cha vigeugeu
238	Data filter	Kichujio cha data
239	Data characteristics table	Jedwali la sifa za data
240	The dataset without text variables	Seti ya data bila vigeu vya maandishi
241	Creating the table. Hold on for a moment..	Kutengeneza meza. Subiri kwa muda..
242	Generating the report. Hold on for a moment..	Inazalisha ripoti. Subiri kidogo..
243	We encountered the following error showing missingness:	Tulikutana na hitilafu ifuatayo inayoonyesha ukosefu:
244	We encountered the following error browsing your data:	Tulipata hitilafu ifuatayo wakati wa kuvinjari data yako:
245	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.
246	Other	Nyingine
247	Hour of the day	Saa ya siku
248	Breaks	Mapumziko
249	By day of the week	Kwa siku ya wiki
250	By weekday	Kufikia siku ya wiki
251	By week number and year	Kwa idadi ya wiki na mwaka
252	By week number	Kwa nambari ya wiki
253	By month and year	Kwa mwezi na mwaka
254	By month only	Kwa mwezi pekee
255	By quarter of the year	Kufikia robo ya mwaka
256	By year	Kwa mwaka
257	Keep only most common	Weka pekee ya kawaida
258	Number	Nambari
259	Combine below percentage	Changanya chini ya asilimia
260	Percentage	Asilimia
261	By specified numbers	Kwa nambari zilizoainishwa
262	By quantiles (groups of equal size)	Kwa quantiles (vikundi vya ukubwa sawa)
263	Please fill in web address and API token, then press 'Connect'.	Tafadhali jaza anwani ya wavuti na tokeni ya API, kisha bonyeza 'Unganisha'.
264	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.	Kuna chaguo za hali ya juu zaidi za kurekebisha vigezo vya vipengele/kategoria pamoja na kuunda kipengele kipya kutoka kwa kigezo kilichopo au vigezo vipya vyenye msimbo wa R. Chini unaweza kurejesha data asili.
265	Text or character to split string by	Maandishi au herufi ya kugawanya mfuatano kwa
266	Split the variable	Gawanya kigezo
267	Variable to split:	Kinachoweza kubadilika hadi kugawanyika:
268	Direction:	Mwelekeo:
269	Split string to multiple columns. Keep number of rows.	Gawanya mfuatano katika safu wima nyingi. Weka idadi ya safu wima.
270	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
271	Split character string	Gawanya mfuatano wa herufi
272	Split text	Gawanya maandishi
273	Split a character string by a common delimiter	Gawanya mfuatano wa herufi kwa kitenganishi cha kawaida
274	Select delimiter	Chagua kidhibiti
275	Browse data preview	Vinjari hakikisho la data
276	Original data	Data asili
277	Preview of result	Hakikisho la matokeo
278	No character variables with accepted delimiters detected.	Hakuna vigezo vya herufi vilivyo na vidhibiti vinavyokubalika vilivyogunduliwa.
279	Split a text column by a recognised delimiter.	Gawanya safu wima ya maandishi kwa kitenga kinachotambulika.
280	Apply split	Tumia mgawanyiko
281	Stacked relative barplot	Kipande cha baruni kilichopangwa kwa mirundiko
282	Create relative stacked barplots to show the distribution of categorical levels	Unda viwanja vya baruni vilivyopangwa ili kuonyesha usambazaji wa viwango vya kategoria
283	Side-by-side barplot	Kipande cha baruni cha kando kwa kando
284	Create side-by-side barplot to show the distribution of categorical levels	Unda mpangilio wa barufa kando ili kuonyesha usambazaji wa viwango vya kategoria
285	Select table theme	Chagua mandhari ya jedwali
286	Level of detail	Kiwango cha maelezo
287	Minimal	Kidogo
288	Extensive	Kina
289	Letters	Barua
290	Words	Maneno
291	Shorten to first letters	Fupisha herufi za kwanza
292	Shorten to first words	Fupisha maneno ya kwanza
293	Missings across variables by the variable **'{input$missings_var}'**	Hazipo katika vigezo kwa kigezo **'{input$missings_var}'**
294	Missing vs non-missing observations in the variable **'{input$missings_var}'**	Uchunguzi unaokosekana dhidi ya usiokosekana katika kigezo **'{input$missings_var}'**
295	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.	Tathmini upungufu kwa kulinganisha thamani zinazokosekana katika vigezo (hiari zilizopangwa kwa mujibu wa kigezo cha kategoria au cha pande mbili) au linganisha vigezo vilivyopangwa kwa mujibu wa hali inayokosekana (inayokosekana au isiyokosekana) ya kigezo cha matokeo. Ikiwa kuna tofauti kubwa katika upungufu, hii inaweza kusababisha upendeleo katika data yako na inapaswa kuzingatiwa kwa uangalifu kutafsiri data na uchambuzi kwani data inaweza isikosekane bila mpangilio.
296	Calculating. Hold tight for a moment..	Kuhesabu. Shikilia kwa muda..
297	Overview of missing observations	Muhtasari wa uchunguzi uliokosekana
298	Analysis method for missingness overview	Mbinu ya uchambuzi wa muhtasari wa kukosekana
299	Overview of missings across variables	Muhtasari wa mambo yanayokosekana katika vigezo
300	Overview of difference in variables by missing status in outcome	Muhtasari wa tofauti katika vigezo kwa kukosa hali katika matokeo
301	Select a variable for grouped overview	Chagua kigezo cha muhtasari wa kikundi
302	Select outcome variable for overview	Chagua kigezo cha matokeo kwa muhtasari
303	No outcome measure chosen	Hakuna kipimo cha matokeo kilichochaguliwa
304	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}.
305	Include group differences	Jumuisha tofauti za vikundi
306	Error:	Hitilafu:
307	Download table	Pakua jedwali
308	Welcome to FreesearchR	Karibu kwenye FreesearchR
309	A free data analysis tool for clinicians, students, and learners	Zana ya uchambuzi wa data bila malipo kwa madaktari, wanafunzi, na wanafunzi
310	Core Features	Vipengele vya Msingi
311	Import Data	Ingiza Data
312	Data Management	Usimamizi wa Data
313	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.
314	Descriptive Statistics	Takwimu za Maelezo
315	Additional Capabilities	Uwezo wa Ziada
316	Data Visualization	Uonyeshaji wa Data
317	Create simple, clean plots for quick insights and overview	Unda michoro rahisi na safi kwa ajili ya maarifa ya haraka na muhtasari
318	Regression Models	Mifumo ya Urejeshaji
319	Build simple regression models for advanced analysis	Jenga mifumo rahisi ya urejelezaji kwa ajili ya uchambuzi wa hali ya juu
320	Export & Learn	Hamisha na Ujifunze
321	Download Results	Pakua Matokeo
322	Get Modified Data	Pata Data Iliyorekebishwa
323	Reproducible Code	Nambari Inayoweza Kurudiwa
324	Full Documentation	Nyaraka Kamili
325	Share Feedback	Shiriki Maoni
326	Contact Us	Wasiliana Nasi
327	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.
328	Home	Nyumbani
329	Start with FreesearchR for basic data evaluation and analysis.	Anza na FreesearchR kwa tathmini na uchambuzi wa data ya msingi.
330	When you need more advanced tools, you'll be better prepared to use R directly.	Unapohitaji zana za hali ya juu zaidi, utakuwa tayari zaidi kutumia R moja kwa moja.
331	(Read more)	(Soma zaidi)
332	Run the FreesearchR app locally when working with sensitive data.	Endesha programu ya FreesearchR ndani ya eneo lako unapofanya kazi na data nyeti.
333	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.
334	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.
335	Export results directly to your text editor	Hamisha matokeo moja kwa moja kwenye kihariri chako cha maandishi
336	Save your processed datasets for later	Hifadhi seti zako za data zilizosindikwa kwa ajili ya baadaye
337	Learn and reproduce results in R	Jifunze na uzalishe matokeo katika R
338	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.
339	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.
340	Sort by Levels	Sort by Levels
341	Reorder factor levels	Reorder factor levels
342	Modify factor levels	Modify factor levels
343	Reorder or rename the levels of factor/categorical variables.	Reorder or rename the levels of factor/categorical variables.