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法律研究如何在 R 中以科学计数法的形式展示 xtable 值？
xtable 包的 xtable 函数可创建 Latex 表格。我们可以使用带有负号的 digits 参数将原始表中的值转换为科学计数法。例如，如果我们有一个定义为 df 的数据框架，那么我们可以用 xtable 作为 xtable(df,digits=-10) 读取它。
加载 xtable 包 −
library(xtable)
示例 1
data1<−xtable(CO2[1:20,])
data1
% latex table generated in R 4.0.2 by xtable 1.8−4 package
% Tue Oct 20 14:36:00 2020
\begin{table}[ht]
\centering
\begin{tabular}{rlllrr}
\hline
& Plant & Type & Treatment & conc & uptake \
\hline
1 & Qn1 & Quebec & nonchilled & 95.00 & 16.00 \
2 & Qn1 & Quebec & nonchilled & 175.00 & 30.40 \
3 & Qn1 & Quebec & nonchilled & 250.00 & 34.80 \
4 & Qn1 & Quebec & nonchilled & 350.00 & 37.20 \
5 & Qn1 & Quebec & nonchilled & 500.00 & 35.30 \
6 & Qn1 & Quebec & nonchilled & 675.00 & 39.20 \
7 & Qn1 & Quebec & nonchilled & 1000.00 & 39.70 \
8 & Qn2 & Quebec & nonchilled & 95.00 & 13.60 \
9 & Qn2 & Quebec & nonchilled & 175.00 & 27.30 \
10 & Qn2 & Quebec & nonchilled & 250.00 & 37.10 \
11 & Qn2 & Quebec & nonchilled & 350.00 & 41.80 \
12 & Qn2 & Quebec & nonchilled & 500.00 & 40.60 \
13 & Qn2 & Quebec & nonchilled & 675.00 & 41.40 \
14 & Qn2 & Quebec & nonchilled & 1000.00 & 44.30 \
15 & Qn3 & Quebec & nonchilled & 95.00 & 16.20 \
16 & Qn3 & Quebec & nonchilled & 175.00 & 32.40 \
17 & Qn3 & Quebec & nonchilled & 250.00 & 40.30 \
18 & Qn3 & Quebec & nonchilled & 350.00 & 42.10 \
19 & Qn3 & Quebec & nonchilled & 500.00 & 42.90 \
20 & Qn3 & Quebec & nonchilled & 675.00 & 43.90 \
\hline
\end{tabular}
\end{table}
data_table1<−xtable(data1[1:20,],digits=−10)
data_table1
% latex table generated in R 4.0.2 by xtable 1.8−4 package
% Tue Oct 20 14:36:25 2020
\begin{table}[ht]
\centering
\begin{tabular}{rlllrr}
\hline
& Plant & Type & Treatment & conc & uptake \
\hline
1 & Qn1 & Quebec & nonchilled & 9.5000000000E+01 & 1.6000000000E+01 \
2 & Qn1 & Quebec & nonchilled & 1.7500000000E+02 & 3.0400000000E+01 \
3 & Qn1 & Quebec & nonchilled & 2.5000000000E+02 & 3.4800000000E+01 \
4 & Qn1 & Quebec & nonchilled & 3.5000000000E+02 & 3.7200000000E+01 \
5 & Qn1 & Quebec & nonchilled & 5.0000000000E+02 & 3.5300000000E+01 \
6 & Qn1 & Quebec & nonchilled & 6.7500000000E+02 & 3.9200000000E+01 \
7 & Qn1 & Quebec & nonchilled & 1.0000000000E+03 & 3.9700000000E+01 \
8 & Qn2 & Quebec & nonchilled & 9.5000000000E+01 & 1.3600000000E+01 \
9 & Qn2 & Quebec & nonchilled & 1.7500000000E+02 & 2.7300000000E+01 \
10 & Qn2 & Quebec & nonchilled & 2.5000000000E+02 & 3.7100000000E+01 \
11 & Qn2 & Quebec & nonchilled & 3.5000000000E+02 & 4.1800000000E+01 \
12 & Qn2 & Quebec & nonchilled & 5.0000000000E+02 & 4.0600000000E+01 \
13 & Qn2 & Quebec & nonchilled & 6.7500000000E+02 & 4.1400000000E+01 \
14 & Qn2 & Quebec & nonchilled & 1.0000000000E+03 & 4.4300000000E+01 \
15 & Qn3 & Quebec & nonchilled & 9.5000000000E+01 & 1.6200000000E+01 \
16 & Qn3 & Quebec & nonchilled & 1.7500000000E+02 & 3.2400000000E+01 \
17 & Qn3 & Quebec & nonchilled & 2.5000000000E+02 & 4.0300000000E+01 \
18 & Qn3 & Quebec & nonchilled & 3.5000000000E+02 & 4.2100000000E+01 \
19 & Qn3 & Quebec & nonchilled & 5.0000000000E+02 & 4.2900000000E+01 \
20 & Qn3 & Quebec & nonchilled & 6.7500000000E+02 & 4.3900000000E+01 \
\hline
\end{tabular}
\end{table}示例 2
data2<−xtable(sleep[1:20,])
data2
% latex table generated in R 4.0.2 by xtable 1.8-4 package
% Tue Oct 20 14:37:14 2020
\begin{table}[ht]
\centering
\begin{tabular}{rrll}
\hline
& extra & group & ID \
\hline
1 & 0.70 & 1 & 1 \
2 & −1.60 & 1 & 2 \
3 & −0.20 & 1 & 3 \
4 & −1.20 & 1 & 4 \
5 & −0.10 & 1 & 5 \
6 & 3.40 & 1 & 6 \
7 & 3.70 & 1 & 7 \
8 & 0.80 & 1 & 8 \
9 & 0.00 & 1 & 9 \
10 & 2.00 & 1 & 10 \
11 & 1.90 & 2 & 1 \
12 & 0.80 & 2 & 2 \
13 & 1.10 & 2 & 3 \
14 & 0.10 & 2 & 4 \
15 & −0.10 & 2 & 5 \
16 & 4.40 & 2 & 6 \
17 & 5.50 & 2 & 7 \
18 & 1.60 & 2 & 8 \
19 & 4.60 & 2 & 9 \
20 & 3.40 & 2 & 10 \
\hline
\end{tabular}
\end{table}
data_table2<−xtable(data2[1:20,],digits=−10)
data_table2
% latex table generated in R 4.0.2 by xtable 1.8−4 package
% Tue Oct 20 14:37:29 2020
\begin{table}[ht]
\centering
\begin{tabular}{rrll}
\hline
& extra & group & ID \
\hline
1 & 7.0000000000E−01 & 1 & 1 \
2 & −1.6000000000E+00 & 1 & 2 \
3 & −2.0000000000E−01 & 1 & 3 \
4 & −1.2000000000E+00 & 1 & 4 \
5 & −1.0000000000E−01 & 1 & 5 \
6 & 3.4000000000E+00 & 1 & 6 \
7 & 3.7000000000E+00 & 1 & 7 \
8 & 8.0000000000E−01 & 1 & 8 \
9 & 0.0000000000E+00 & 1 & 9 \
10 & 2.0000000000E+00 & 1 & 10 \
11 & 1.9000000000E+00 & 2 & 1 \
12 & 8.0000000000E−01 & 2 & 2 \
13 & 1.1000000000E+00 & 2 & 3 \
14 & 1.0000000000E−01 & 2 & 4 \
15 & −1.0000000000E−01 & 2 & 5 \
16 & 4.4000000000E+00 & 2 & 6 \
17 & 5.5000000000E+00 & 2 & 7 \
18 & 1.6000000000E+00 & 2 & 8 \
19 & 4.6000000000E+00 & 2 & 9 \
20 & 3.4000000000E+00 & 2 & 10 \
\hline
\end{tabular}
\end{table}示例 3
data3<−xtable(iris[1:20,])
data3
% latex table generated in R 4.0.2 by xtable 1.8−4 package
% Tue Oct 20 14:38:06 2020
\begin{table}[ht]
\centering
\begin{tabular}{rrrrrl}
\hline
& Sepal.Length & Sepal.Width & Petal.Length & Petal.Width & Species \
\hline
1 & 5.10 & 3.50 & 1.40 & 0.20 & setosa \
2 & 4.90 & 3.00 & 1.40 & 0.20 & setosa \
3 & 4.70 & 3.20 & 1.30 & 0.20 & setosa \
4 & 4.60 & 3.10 & 1.50 & 0.20 & setosa \
5 & 5.00 & 3.60 & 1.40 & 0.20 & setosa \
6 & 5.40 & 3.90 & 1.70 & 0.40 & setosa \
7 & 4.60 & 3.40 & 1.40 & 0.30 & setosa \
8 & 5.00 & 3.40 & 1.50 & 0.20 & setosa \
9 & 4.40 & 2.90 & 1.40 & 0.20 & setosa \
10 & 4.90 & 3.10 & 1.50 & 0.10 & setosa \
11 & 5.40 & 3.70 & 1.50 & 0.20 & setosa \
12 & 4.80 & 3.40 & 1.60 & 0.20 & setosa \
13 & 4.80 & 3.00 & 1.40 & 0.10 & setosa \
14 & 4.30 & 3.00 & 1.10 & 0.10 & setosa \
15 & 5.80 & 4.00 & 1.20 & 0.20 & setosa \
16 & 5.70 & 4.40 & 1.50 & 0.40 & setosa \
17 & 5.40 & 3.90 & 1.30 & 0.40 & setosa \
18 & 5.10 & 3.50 & 1.40 & 0.30 & setosa \
19 & 5.70 & 3.80 & 1.70 & 0.30 & setosa \
20 & 5.10 & 3.80 & 1.50 & 0.30 & setosa \
\hline
\end{tabular}
\end{table}
data_table3<−xtable(data3[1:20,],digits=−10)
data_table3
% latex table generated in R 4.0.2 by xtable 1.8−4 package
% Tue Oct 20 14:38:19 2020
\begin{table}[ht]
\centering
\begin{tabular}{rrrrrl}
\hline
& Sepal.Length & Sepal.Width & Petal.Length & Petal.Width & Species \
\hline
1 & 5.1000000000E+00 & 3.5000000000E+00 & 1.4000000000E+00 & 2.0000000000E−01 & setosa \
2 & 4.9000000000E+00 & 3.0000000000E+00 & 1.4000000000E+00 & 2.0000000000E−01 & setosa \
3 & 4.7000000000E+00 & 3.2000000000E+00 & 1.3000000000E+00 & 2.0000000000E−01 & setosa \
4 & 4.6000000000E+00 & 3.1000000000E+00 & 1.5000000000E+00 & 2.0000000000E−01 & setosa \
5 & 5.0000000000E+00 & 3.6000000000E+00 & 1.4000000000E+00 & 2.0000000000E−01 & setosa \
6 & 5.4000000000E+00 & 3.9000000000E+00 & 1.7000000000E+00 & 4.0000000000E−01 & setosa \
7 & 4.6000000000E+00 & 3.4000000000E+00 & 1.4000000000E+00 & 3.0000000000E−01 & setosa \
8 & 5.0000000000E+00 & 3.4000000000E+00 & 1.5000000000E+00 & 2.0000000000E−01 & setosa \
9 & 4.4000000000E+00 & 2.9000000000E+00 & 1.4000000000E+00 & 2.0000000000E−01 & setosa \
10 & 4.9000000000E+00 & 3.1000000000E+00 & 1.5000000000E+00 & 1.0000000000E−01 & setosa \
11 & 5.4000000000E+00 & 3.7000000000E+00 & 1.5000000000E+00 & 2.0000000000E−01 & setosa \
12 & 4.8000000000E+00 & 3.4000000000E+00 & 1.6000000000E+00 & 2.0000000000E−01 & setosa \
13 & 4.8000000000E+00 & 3.0000000000E+00 & 1.4000000000E+00 & 1.0000000000E−01 & setosa \
14 & 4.3000000000E+00 & 3.0000000000E+00 & 1.1000000000E+00 & 1.0000000000E−01 & setosa \
15 & 5.8000000000E+00 & 4.0000000000E+00 & 1.2000000000E+00 & 2.0000000000E−01 & setosa \
16 & 5.7000000000E+00 & 4.4000000000E+00 & 1.5000000000E+00 & 4.0000000000E−01 & setosa \
17 & 5.4000000000E+00 & 3.9000000000E+00 & 1.3000000000E+00 & 4.0000000000E−01 & setosa \
18 & 5.1000000000E+00 & 3.5000000000E+00 & 1.4000000000E+00 & 3.0000000000E−01 & setosa \
19 & 5.7000000000E+00 & 3.8000000000E+00 & 1.7000000000E+00 & 3.0000000000E−01 & setosa \
20 & 5.1000000000E+00 & 3.8000000000E+00 & 1.5000000000E+00 & 3.0000000000E−01 & setosa \
\hline
\end{tabular}
\end{table}
更新于: 2020 年 11 月 6 日
223 次浏览
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