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Description: 恢复误删除的文件的Delphi源代码，支持FAT 12/16/32，NTFS文件系统，值得大家研究的哦。-Recover accidentally deleted files Delphi source code, supports FAT 12/16/32, NTFS file system, it is worth, oh.
Platform: |
Size: 379904 |
Author: 天山雪 |
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Description: 恢复误删除的文件的Delphi源代码，支持FAT 12/16/32，NTFS文件系统，值得大家研究的哦。-Recover accidentally deleted files Delphi source code, supports FAT 12/16/32, NTFS file system, it is worth, oh.
Platform: |
Size: 382976 |
Author: LIN XIAOLIN |
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Description:
FatFs gcc 编译工程
FatFs Module是一种完全免费开源的FAT文件系统模块，专门为小型的嵌入式系统而设计。它完全用标准C语言编写，所以具有良好的硬件平台独立性，可以移植到8051、PIC、AVR、SH、Z80、H8、ARM等系列单片机上而只需做简单的修改。它支持FATl2、FATl6和FAT32，支持多个存储媒介；有独立的缓冲区，可以对多个文件进行读／写，并特别对8位单片机和16位单片机做了优化。-FatFs Module is a completely free open source of FAT file system Module, designed specifically for small embedded systems. It is completely written in a standard C language, so it has good hardware platform independence, can be transplanted into 8051, PIC, AVR, SH, series single chip microcomputer Z80, H8, ARM, and just do simple modification. It supports FATl2, FATl6 and FAT32, support multiple storage medium Have independent buffer, the multiple files can be read/write, and particularly of 8-bit MCU and 16-bit single chip microcomputer has been optimized.
Platform: |
Size: 549888 |
Author: 孙春兴 |
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Description: 假设要分析的数据包括属性age。数据元组的年龄值为（按递增顺序）13、15、16、19、20、20、21、22、22、25、25、25、25、25、30、33、35、35、35、36、40、45、46、52、70。另外，假设一家医院用上述年龄属性对所选样本受试者的年龄和体脂数据进行测试，得到结果，并执行下列操作：
1、将上述数据保存在逗号分隔值文件中。
2、将逗号分隔值文件中的数据读入R中的变量。
3、年龄和脂肪百分比的平均、中等和标准差是多少？
4、这个时代的模式是什么？评论数据的形式（即双峰、三峰等）。
5、 年龄范围有多大？
6、年龄的第一个四分位数和第三个四分位数是什么？
7、给出年龄和脂肪百分比的五位数摘要。
8、 绘制年龄和脂肪百分比的方框图。
9、显示年龄和脂肪百分比的直方图。
10、根据这两个变量绘制散点图。(Suppose the data to be analyzed includes the attribute age. The age values of data tuples were 13, 15, 16, 19, 20, 20, 21, 22, 22, 25, 25, 25, 25, 30, 33, 35, 35, 35, 35, 36, 40, 45, 46, 52, 70. In addition, suppose a hospital uses the above-mentioned age attributes to test the age and body fat data of the selected sample subjects, get the results, and perform the following operations:
1. Save the above data in a comma separated value file.
2. Read data from a comma separated value file into a variable in R.
3. What are the average, medium and standard deviations of age and percentage of fat?
4. What is the pattern of this era? Comment on the form of data (i.e. bimodal, triple peak, etc.).
5. What is the age range?
6. What are the first and third quartiles of age?
7. Give a five digit summary of age and fat percentage.
8. Draw a block diagram of age and percentage of fat.
9. Histogram showing age and percentage of fat.
10. Based on these two variables, a scatter plot is drawn.)
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Size: 236544 |
Author: jf12345 |
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