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- 分类:音乐
- 标签:qcarts qcart audios audio podcastings podcasting audios audio playbacks playback qcarts qcart audios audio interfaces interface audios audio ves ve offers offer latency audios audio customs custom keyboards keyboard short
- 时间:2016年02月11日 更新 文件大小: 3.1 MB
- 开发商:Figure 53, LLC 官网首页
- 支持类型: Mac OS X 10.6.8 or later
- 支持语言:未知
来自Mac App Store官方介绍
Ipack 2 3 4 x 5. QCart turns your Mac into a professional audio cart machine. Use it for sports, podcasting, radio production, corporate events, or anywhere you need rock-solid audio playback at the push of a button.
众所周知 Qcart是一个音频播放器 Qcart界面: 能方便大家在演出、录音、排练等场合下流畅地播放歌曲 类似于Mac上的QLab、Farrago和Windows上的Sports Sounds Pro QLab界面: Farrago界面: Sports Sounds Pro界面: 基本是每位音响师的必备!. A bug that prevented being able to view the 'Triggers' inspector tab for certain cart cues imported from a QCart workspace. Several additional issues when importing a QCart workspace. Really need version 4.1.3 you can download it here. September 14th, 2017.
- Simple and best practice solution for (q-2)/(3)=(q-1)/(q+3) equation. Check how easy it is, and learn it for the future. Our solution is simple, and easy to understand, so don`t hesitate to use it as a solution of your homework.
- Answer: We usually have the next batch within 1-2 wks. However there will be times when the next batch is 2-3 months away. We will give our regular customers priority, follow by new customers. Customers who reserved but will not proceed can re-order however we will only provide if we have sufficient stocks.
QCart is a new kind of audio cart. With a simple and beautiful interface, we think it will be the best audio cart you've ever used. It offers our battle-tested, low-latency audio engine, custom keyboard shortcuts, and MIDI triggers, so all your audio is there exactly when you need it.
Features
- Clean, simple interface
- Trigger cues via mouse, keyboard, or MIDI
- Level meter for currently selected audio output
- Lock your cart to put it in show mode
- Apply Audio Units to each sound
- Waveform editor for fast, non-destructive trimming
- Change the color of each button
- Loop and hold options for each cue
- Multiple tabs/carts per document
- Supports OS X 10.7's full-screen mode
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v1.2.3版本新功能
Version 1.2.3:
- [Fixed] A significant security vulnerability in the framework QCart uses to check for updates.
![Qcart 1 2 3 Qcart 1 2 3](https://www.astro-z.com/qcart/design/user_files/images/2009/january/13/lodan1.jpg)
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下载列表 文件数: 1文件大小: 3.1 MB举报
文件名 | 版本 | 下载次数 | 上传时间 | 上传者 | 下载类型 | 操作 | |
---|---|---|---|---|---|---|---|
0. | http://figure53.com/qcart/官网下载 | 最新 | - | - | 官方 | Mac | 点击下载 |
1. | figure53.com官方原版 | v1.2.3 | 924 | 2016-02-11 | 网友共享 | Mac 版 | 点击下载 |
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For quartiles Q1, Q3 calculation, please enter numerical data separated with comma (or space, tab, semicolon, or newline). For example: -367.5 674.7 531.7 713.4 863.4 329.1 731.1 379.6 591.9 205.3 153.1 476.6 418.0
*For low count distributions, there is no universal agreement on selecting the quartile values (divide the ordered data set into two halves and then next halving..). If there are even number of data points, all methods give the same results.Cat 1 2 3 Requirements To Land
Quartile
In statistics, a quartile, a type of quantile, is three points that divide sorted data set into four equal groups (by count of numbers), each representing a fourth of the distributed sampled population.
There are three quartiles: the first quartile (Q1), the second quartile (Q2), and the third quartile (Q3).
The first quartile (lower quartile, QL), is equal to the 25th percentile of the data. (splits off the lowest 25% of data from the highest 75%)
The second (middle) quartile or median of a data set is equal to the 50th percentile of the data (cuts data in half)
The third quartile, called upper quartile (QU), is equal to the 75th percentile of the data. (splits off the lowest 75% of data from highest 25%)
There are three quartiles: the first quartile (Q1), the second quartile (Q2), and the third quartile (Q3).
The first quartile (lower quartile, QL), is equal to the 25th percentile of the data. (splits off the lowest 25% of data from the highest 75%)
The second (middle) quartile or median of a data set is equal to the 50th percentile of the data (cuts data in half)
The third quartile, called upper quartile (QU), is equal to the 75th percentile of the data. (splits off the lowest 75% of data from highest 25%)
How we calculating quartiles?
We sort set of data with n items (numbers) and pick n/4-th item as Q1, n/2-th item as Q2 and 3n/4-th item as Q3 quartile. If indexes n/4, n/2 or 3n/4 aren't integers then we use interpolation between nearest items.
For example, for n=100 items, the first quartile Q1 is 25th item of ordered data, quartile Q2 is 50th item and quartile Q3 is 75th item. Zero quartile Q0 would be minimal item and the fourth quartile Q4 would be the maximum item of data, but these extreme quartiles are called minimum resp. maximum of set.
Reference: wikipediaFor example, for n=100 items, the first quartile Q1 is 25th item of ordered data, quartile Q2 is 50th item and quartile Q3 is 75th item. Zero quartile Q0 would be minimal item and the fourth quartile Q4 would be the maximum item of data, but these extreme quartiles are called minimum resp. maximum of set.
How to enter data as a frequency table?
Simple. First-type data elements (separated by spaces or commas, etc.), then type f: and further write frequency of each data item. Each element must have defined frequency that count of numbers before and after symbol f: must be equal. For example:1.1 2.5 3.99
f: 5 10 15
1 2 3 Vetements
How to enter a grouped data?
Grouped data are data formed by aggregating individual data into groups so that a frequency distribution of these groups serves as a convenient means of summarizing or analyzing the data.group | frequency |
10-20 | 5 |
20-30 | 10 |
30-40 | 15 |
10-20 20-30 30-40
Cart 1 2 3
f: 5 10 15How to enter data as a cumulative frequency table?
Similar as frequency table, but instead f: type cf: in second line. For example:10 20 30 40 50 60 70 80
Qcart 1 2 3 100
cf: 5 13 20 32 60 80 90 100The cumulative frequency is calculated by adding each frequency from a frequency distribution table to the sum of its predecessors. The last value will always be equal to the total for all observations since all frequencies will already have been added to the previous total.