Component Translated Unfinished Unfinished words Unfinished characters Untranslated Checks Suggestions Comments
Glossary JASP GPL-2.0 83% 16 30 213 12 0 0 0
jaspAcceptanceSampling-QML GPL-2.0 0% 67 188 1,286 67 0 0 0
jaspAnova-QML GPL-2.0 26% 223 640 4,219 148 12 0 0
jaspAudit-QML GPL-2.0 0% 584 5,449 35,632 584 0 0 0
jaspAudit-R GPL-2.0 30% 307 3,922 25,995 305 3 14 0
jaspBain-QML GPL-3.0 0% 124 455 2,988 124 0 0 0
jaspBase AGPL-3.0 83% 4 43 264 4 1 0 0
jaspBFF-QML GPL-2.0 0% 46 110 674 46 0 0 0
jaspBsts-QML GPL-2.0 0% 53 138 999 53 0 0 0
jaspCircular-QML GPL-2.0 0% 45 90 658 45 0 0 0
jaspCochrane-QML GPL-2.0 0% 53 103 739 53 1 0 0
jaspDescriptives-QML GPL-2.0 0% 423 4,133 25,834 423 0 0 0
jaspDescriptives-R GPL-2.0 40% 78 591 3,623 68 0 0 0
jaspDesktop AGPL-3.0 33% 509 3,369 19,748 509 3 0 0
jaspDistributions-QML AGPL-3.0 0% 750 2,000 14,341 750 0 0 0
jaspDistributions-R AGPL-3.0 33% 125 859 6,138 114 1 0 0
jaspEquivalenceTTests-QML AGPL-3.0 0% 121 281 1,962 121 1 0 0
jaspFactor-QML GPL-2.0 0% 196 403 2,874 196 0 0 0
jaspFrequencies-QML GPL-2.0 0% 310 737 4,894 310 1 0 0
jaspGraphs GPL-2.0 29% 19 116 787 17 0 0 0
jaspJags-QML AGPL-3.0 25% 67 144 952 67 1 0 0
jaspLearnBayes-QML AGPL-3.0 0% 311 601 3,964 311 0 0 0
jaspLearnStats-QML GPL-2.0 0% 318 659 4,443 318 0 0 0
jaspMachineLearning-QML AGPL-3.0 0% 595 5,182 32,912 595 0 0 0
jaspMetaAnalysis-QML AGPL-3.0 0% 1,130 4,929 34,218 1,130 1 0 0
jaspMixedModels-QML AGPL-3.0 0% 205 394 2,959 205 1 0 0
jaspNetwork-QML AGPL-3.0 0% 237 435 2,826 237 0 0 0
jaspPower-QML GPL-2.0 0% 58 134 682 58 0 0 0
jaspPredictiveAnalytics-QML GPL-2.0 0% 126 393 2,626 126 0 0 0
jaspProcess-QML GPL-2.0 0% 175 293 2,213 175 1 0 0
jaspProphet-QML AGPL-3.0 0% 79 160 1,248 79 0 0 0
jaspQualityControl-QML GPL-2.0 4% 606 1,452 9,694 606 1 0 0
jaspRegression-QML AGPL-3.0 0% 425 837 6,079 425 1 0 0
jaspRegression-R GPL-2.0 35% 234 1,211 8,261 230 15 6 0
jaspReliability-QML AGPL-3.0 0% 188 436 3,097 188 1 0 0
jaspRobustTTests-QML 0% 98 189 1,442 98 0 0 0
jaspSem-QML AGPL-3.0 0% 285 613 4,589 285 0 0 0
jaspSummaryStatistics-QML AGPL-3.0 0% 194 454 2,802 194 0 0 0
jaspTimeSeries-QML GPL-2.0 0% 180 1,197 7,432 180 0 0 0
jaspTTests-QML GPL-2.0 0% 172 406 2,851 172 1 0 0
jaspVisualModeling-QML AGPL-3.0 0% 102 197 1,351 102 0 0 0
jaspVisualModeling-R GPL-2.0 0 0 0 0 0 0 0

Overview

Project website jasp-stats.org
Project maintainers User avatar JASPStats
Language Italian
Language code it
Text direction Left to right
Number of speakers 69,298,348
2 hours ago

String statistics

Strings percent Hosted strings Words percent Hosted words Characters percent Hosted characters
Total 10,709 47,639 314,407
Translated 8% 871 7% 3,666 7% 23,898
Needs editing 1% 108 1% 221 1% 1,492
Read-only 1% 2 1% 2 1% 5
Failing checks 1% 46 1% 89 1% 599
Strings with suggestions 1% 20 1% 240 1% 2,390
Untranslated strings 90% 9,730 91% 43,752 91% 289,017
Last 12 months Previous

Activity in last 12 months

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Quick numbers

47,742
Hosted words
10,709
Hosted strings
8%
Translated
0
Contributors
and previous 30 days

Trends of last 30 days

+10%
Hosted words
+100%
+10%
Hosted strings
+100%
−1%
Translated
+9%
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Resource updated
Parsing of the “po/R-it.po” file was enforced. 2 hours ago
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Resource updated
Parsing of the “po/QML-it.po” file was enforced. 2 hours ago
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Resource updated
The “po/QML-it.po” file was changed. 2 hours ago
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String added in the repository
When the auditor has information that indicates a low-risk profile on the population, they can use this information to reduce their required sample size via the Audit Risk Model (ARM) provided that there are no errors in the population. According to the ARM, the audit risk (AR) is a function of the inherent risk (IR), the internal control risk (CR), the analytical risk (CAR) and the detection risk (DR).

*AR = IR x CR x CAR x DR*

The auditor assesses inherent risk, internal control risk and analytical risk generally on a 3-point scale consisting of high, medium and low to determine the appropriate detection risk. To use the ARM, these categorical risk assessments must be mapped to probabilities. By default, the Audit module uses the percentages shown in the table below, which are inspired by the <i>Handboek Auditing Rijksoverheid</i>. You can manually adjust the percentages associated with one or all of the risks by selecting the Custom option in the drop-down list under the corresponding risk assessment.

| | Inherent risk (IR) | Control risk (CR) | Analytical risk (CAR) |
| ---: | :---: | :---: | :---: |
| High | 100% | 100% | 100% |
| Medium | 63% | 52% | 50% |
| Low | 40% | 34% | 25% |
 
2 hours ago
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Resource updated
Parsing of the “po/R-it.po” file was enforced. 2 hours ago
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Resource updated
Parsing of the “po/QML-it.po” file was enforced. 19 hours ago
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Resource updated
Parsing of the “po/QML-it.po” file was enforced. yesterday
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Resource updated
Parsing of the “po/QML-it.po” file was enforced. 5 days ago
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Resource updated
Parsing of the “po/QML-it.po” file was enforced. 5 days ago
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Resource updated
Parsing of the “po/QML-it.po” file was enforced. 5 days ago
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