【两行命令】R语言读取excel数据

小咪咪 2022-05-16 14:35 232阅读 0赞

## 安装库 ##

安装xlsx

install.packages("xlsx")

## 使用 ##

library(xlsx)
    ray = read.xlsx('D:/Code/R/Data in Excel/Chapter 8/gamma-ray.xls',1)

后面的参数，第一个放地址，第二个放具体sheet页（这里除了可以放数值之外，还可以放对应的名字（**字符串**））。除此之外，还可以使用`encoding="utf-8"`的方式来定义使用中文数据。

**效果：**

> a = read.xlsx('D:/Code/R/Data in Excel/Chapter 8/gamma-ray.xls',1)
    > a
        seconds count
    1     116.0     0
    2     112.0     0
    3     160.0     0
    4      51.5     0
    5     102.0     1
    6      77.4     0
    7      14.5     0
    8    1070.0     3
    9      99.1     1
    10     49.6     0
    11     50.8     0
    12     77.2     0
    13    114.0     0
    14    165.0     0
    15    106.0     0
    16     52.9     0
    17    104.0     2
    18     51.0     2
    19     51.4     0
    20    316.0     2
    21    687.0     4
    22    101.0     0
    23     99.7     0
    24     49.2     0
    25     49.2     1
    26    104.0     0
    27     53.5     0
    28    124.0     0
    29    168.0     0
    30    109.0     0
    31    107.0     1
    32    103.0     0
    33     52.1     0
    34    104.0     1
    35    656.0     5
    36    111.0     1
    37    417.0     2
    38    149.0     1
    39     56.5     1
    40     12.5     0
    41    101.0     1
    42    107.0     0
    43    113.0     1
    44     80.8     0
    45    110.0     0
    46    109.0     0
    47    105.0     0
    48    104.0     1
    49    107.0     0
    50     53.3     0
    51     51.1     0
    52    868.0     1
    53    105.0     0
    54    105.0     0
    55    103.0     2
    56    104.0     0
    57    105.0     0
    58     52.1     0
    59     52.3     0
    60   1110.0     0
    61     30.4     0
    62    116.0     0
    63     44.9     0
    64     46.1     0
    65     97.9     0
    66    102.0     1
    67    162.0     0
    68    102.0     0
    69    102.0     0
    70     98.7     0
    71     98.7     2
    72    103.0     0
    73     51.6     1
    74     53.1     0
    75   1290.0     3
    76     56.8     0
    77     89.2     1
    78     52.8     1
    79     72.2     0
    80    111.0     0
    81     57.7     0
    82     32.8     0
    83     99.6     2
    84     50.9     1
    85     51.2     0
    86   1350.0     6
    87     69.1     0
    88     67.7     0
    89     38.2     1
    90     37.9     0
    91     31.3     0
    92    121.0     0
    93     55.8     0
    94    460.0     7
    95    128.0     0
    96     38.7     1
    97     41.8     0
    98     81.7     0
    99     88.3     0
    100    37.4     0

## 更高阶文章 ##

*  [https://blog.csdn.net/cl1143015961/article/details/50035529][https_blog.csdn.net_cl1143015961_article_details_50035529]
 *  [https://www.zhihu.com/question/20950125][https_www.zhihu.com_question_20950125]

[https_blog.csdn.net_cl1143015961_article_details_50035529]: https://blog.csdn.net/cl1143015961/article/details/50035529
[https_www.zhihu.com_question_20950125]: https://www.zhihu.com/question/20950125