我开始使用DescTools包，并且在Desc()数字输出格式方面遇到了一些麻烦。
所有的结果都提供了科学符号，我发现它不太容易阅读。
对于摘要标准函数，我没有这种行为
一个简短的例子:
set.seed(1)
w <- data.frame(norm.var = as.numeric(rnorm(n = 1000, mean = 100, sd = 30)))
head(w)
norm.var
1 81.20639
2 105.50930
. .........
summary(w$norm.var)
Min. 1st Qu. Median Mean 3rd Qu. Max.
9.759 79.080 98.940 99.650 120.700 214.300
Desc(x = w$norm.var)
--------------------------------------------------------------------------------------------------------------------
w$norm.var (numeric)
length n NAs unique 0s mean meanSE
1e+03 1e+03 0 = n 0 9.965056e+01 9.818074e-01
.05 .10 .25 median .75 .90 .95
4.819120e+01 5.981999e+01 7.907880e+01 9.894027e+01 1.206528e+02 1.397209e+02 1.523195e+02
range sd vcoef mad IQR skew kurt
2.045498e+02 3.104748e+01 3.115635e-01 3.095060e+01 4.157404e+01 -1.913836e-02 -7.768915e-03
lowest : 9.758542e+00, 1.009152e+01, 1.180679e+01, 1.333238e+01, 2.211666e+01
highest: 1.749298e+02, 1.794750e+02, 1.802722e+02, 1.916723e+02, 2.143083e+02
我的相关会话信息是:
> sessionInfo()
R version 3.1.2 (2014-10-31)
Platform: x86_64-w64-mingw32/x64 (64-bit)
locale:
[1] LC_COLLATE=Italian_Italy.1252 LC_CTYPE=Italian_Italy.1252 LC_MONETARY=Italian_Italy.1252
[4] LC_NUMERIC=C LC_TIME=Italian_Italy.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] DescTools_0.99.13 manipulate_1.0.1 itertools_0.1-3 iterators_1.0.7 foreach_1.4.2
[6] randomForest_4.6-12 scales_0.2.4 ggplot2_1.0.0 XLConnect_0.2-10 XLConnectJars_0.2-9
[11] reshape_0.8.5 plyr_1.8.1
loaded via a namespace (and not attached):
[1] boot_1.3-14 codetools_0.2-10 colorspace_1.2-4 digest_0.6.8 foreign_0.8-62 grid_3.1.2
[7] gtable_0.1.2 labeling_0.3 MASS_7.3-37 munsell_0.4.2 mvtnorm_1.0-2 parallel_3.1.2
[13] proto_0.3-10 Rcpp_0.12.1 reshape2_1.4.1 rJava_0.9-6 stringr_0.6.2 tools_3.1.2
感谢您的帮助
尝试options(scipen=1000)全局关闭科学记数法
options(scipen=1000)
Desc(w)
您可能还想考虑使用options(digits=3)之类的东西进行报告。
'data.frame': 1000 obs. of 1 variable:
1 $ norm.var: num 81.2 105.5 74.9 147.9 109.9 ...
------------------------------------------------------------------------------
1 - norm.var (numeric)
length n NAs unique 0s mean meanSE
1'000 1'000 0 = n 0 99.650556 0.981807
.05 .10 .25 median .75 .90 .95
48.191200 59.819990 79.078803 98.940273 120.652839 139.720893 152.319495
range sd vcoef mad IQR skew kurt
204.549758 31.047475 0.311563 30.950601 41.574035 -0.019138 -0.007769
lowest : 9.758542, 10.091521, 11.806789, 13.33238, 22.116658
highest: 174.929848, 179.475006, 180.272224, 191.672271, 214.3083