Pastebin style awesomeness - collaborative developing and debugging. Past 3.14: A comprehensive statistics/ data analysis tool Past is a powerful software for scientific data analysis, with functions for data manipulation, plotting, univariate and multivariate statistics, ecological analysis, time series and spatial analysis, morphometries and stratigraphy. Download PASTE for free. An app for storing code, text & more. Screens 4 6 8 utility trailer. A popular Open Source pastebin. My tracks 3 4 42. Paste is a PHP application for storing code, text and more. Initially forked from the freely available source pastebin.com used before the domain was sold in 2010, lots of improvements have been included over the years such as user accounts and a featureful administration backend.
- Released 2019, December 19
183g, 8.7mm thickness
Android 9.0, up to Android 10, Android One
32GB storage, microSDXC - 0.9%1,018,031 hits
- 6.2'720x1520 pixels
- 13MP
- 2GB RAMHelio A22
- 4000mAh
Network | Technology | GSM / HSPA / LTE |
---|---|---|
2G bands | GSM 850 / 900 / 1800 / 1900 - SIM 1 & SIM 2 (Dual SIM model only) | |
GSM 900 / 1800 / 850 - India | ||
3G bands | HSDPA 850 / 900 / 2100 - Global | |
HSDPA 850 / 900 / 1700(AWS) / 1900 / 2100 - USA / LATAM | ||
4G bands | 1, 3, 5, 7, 8, 20, 28, 38, 40, 41 - Global | |
1, 2, 3, 4, 5, 7, 8, 12, 17, 28, 66 - USA / LATAM | ||
1, 3, 5, 8, 40, 41 - India | ||
Speed | HSPA 42.2/5.76 Mbps, LTE Cat4 150/50 Mbps |
Launch | Announced | 2019, December 05 |
---|---|---|
Status | Available. Released 2019, December 19 |
Paste 2 2 3 9 7
Body | Dimensions | 157.7 x 75.4 x 8.7 mm (6.21 x 2.97 x 0.34 in) |
---|---|---|
Weight | 183 g (6.46 oz) | |
Build | Glass front, plastic back, plastic frame | |
SIM | Single SIM (Nano-SIM) or Hybrid Dual SIM (Nano-SIM, dual stand-by) |
Display | Type | IPS LCD |
---|---|---|
Size | 6.2 inches, 95.9 cm2 (~80.7% screen-to-body ratio) | |
Resolution | 720 x 1520 pixels, 19:9 ratio (~271 ppi density) | |
Always-on display |
Platform | OS | Android 9.0 (Pie), upgradable to Android 10, Android One |
---|---|---|
Chipset | Mediatek MT6761 Helio A22 (12 nm) | |
CPU | Quad-core 2.0 GHz Cortex-A53 | |
GPU | PowerVR GE8320 |
Memory | Card slot | microSDXC (uses shared SIM slot) |
---|---|---|
Internal | 32GB 2GB RAM | |
eMMC 5.1 |
Main Camera | Single | 13 MP, f/2.2, 1/3.1', 1.12µm, AF 2 MP, (depth) |
---|---|---|
Features | LED flash, HDR, panorama | |
Video | 1080p@30fps |
Selfie camera | Single | 5 MP, f/2.4 |
---|---|---|
Video |
Sound | Loudspeaker | Yes |
---|---|---|
3.5mm jack | Yes |
Comms | WLAN | Wi-Fi 802.11 b/g/n, hotspot |
---|---|---|
Bluetooth | 5.0, A2DP, LE | |
GPS | Yes, with A-GPS, GLONASS, BDS | |
NFC | No | |
Radio | FM radio | |
USB | microUSB 2.0, USB On-The-Go |
Features | Sensors | Accelerometer, proximity |
---|
Battery | Type | Li-Po 4000 mAh, non-removable |
---|
Misc | Colors | Cyan Green, Sand, Charcoal |
---|---|---|
Models | TA-1211, TA-1214, TA-1206, TA-1209 | |
SAR | 0.81 W/kg (head) 0.86 W/kg (body) | |
SAR EU | 0.41 W/kg (head) 1.40 W/kg (body) | |
Price | € 113.84 / $ 112.45 / £ 84.99 / ₹ 8,589 |
Disclaimer. We can not guarantee that the information on this page is 100% correct. Read more
32GB 2GB RAM | € 113.84 | £ 84.99 |
![Paste 2 2 3 9 = Paste 2 2 3 9 =](https://d2mkh7ukbp9xav.cloudfront.net/recipeimage/thzhw52n-274f4-850647-cfcd2-9urr3hyu/45c72b4b-0f2d-486f-b189-2a867ce4c36e/large/fig-paste.jpg)
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![Paste Paste](https://123mactorrent.com/wp-content/uploads/2020/02/picture-98.jpg)
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Download0 ScreenshotsHistoryhound 2 1 18. No review
No Video PAST is a handy application that lets you easily analyze scientific data by calculating several types of statistical indicators and generating graphs. It offers a comprehensive collection of analysis methods that you can apply with just a few mouse clicks.
With PAST you can easily manipulate data and apply several analysis techniques. To enter data, you can use a text file, a raw data file or an Excel worksheet, from where you can copy the values then paste them into the program.
You can add rows, name the columns and remove data that’s not useful for the study before processing the values. There’s also the option to define a counter as well as transpose the whole range. You can either subtract the mean value or convert the values to 10-base logarithms in order to transform the data. Data distribution can be normalized using Box-Cox transformations among other methods.
Users can generate a percentile plot or a histogram to get a graphical representation of the experiment’s results. Several adjustments are made available for this task, among which there’s the possibility to tweak the interval values, overall size and character orientation. Then you can print or export the output.
In the statistics area, you’ll find several univariate and multivariate analysis techniques like intraclass correlation and variance analysis among others. PAST can analyze geometric correlation and the data diversity, as well as use linear or polynomial models.
With PAST you can easily manipulate data and apply several analysis techniques. To enter data, you can use a text file, a raw data file or an Excel worksheet, from where you can copy the values then paste them into the program.
You can add rows, name the columns and remove data that’s not useful for the study before processing the values. There’s also the option to define a counter as well as transpose the whole range. You can either subtract the mean value or convert the values to 10-base logarithms in order to transform the data. Data distribution can be normalized using Box-Cox transformations among other methods.
Users can generate a percentile plot or a histogram to get a graphical representation of the experiment’s results. Several adjustments are made available for this task, among which there’s the possibility to tweak the interval values, overall size and character orientation. Then you can print or export the output.
In the statistics area, you’ll find several univariate and multivariate analysis techniques like intraclass correlation and variance analysis among others. PAST can analyze geometric correlation and the data diversity, as well as use linear or polynomial models.
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