R 中显示的摘要很短，许多术语显示为“其他". [英] Summary shown in R is short, many terms shown as "Other"

问题描述

如何显示完整的输出摘要，而不将任何值归类为其他"?

summary(d)销售城市部门产品的日期1/18/2015 : 149 A:5290 鞋类男装 : 538 13245 : 2551/25/2015 : 149 B:2078 家居:1937 15350 : 2552014 年 11 月 23 日:149 C:5088 婴儿 W-Wear:992 15352:2552014 年 11 月 30 日:149 位女士 下层:1735 15353:2552014 年 12 月 14 日:149 名女士鞋面:1805 15355:2552014 年 12 月 21 日:149 男士下装:2039 15356:255(其他):11562 男鞋面:3410 (其他):10926销售预测.销售标志0 :3963 0 :3279 预测:1341不可用:1341 1 :1951 历史:111151:1145 2:9462 : 797 3 : 7003 : 557 4 : 5724 : 498 5 : 438(其他):4155 (其他):4570

解决方案

旁白:看起来您的数据有因子列，它们应该是数字.您可能想看看它，因为它可能会在以后的分析中给您带来问题.

<小时>

就您对 summary() 的调用而言，您可以调整 maxsum 参数.我们在help(summary)中发现这个可以用来改变summary中显示的信息量

<块引用>

ma​​xsum - 整数，表示因子应显示多少级.

所以让我们用一个两列数据框的例子来看看这个 -

set.seed(12)df <- 数据.frame(a = 样本(字母 [1:8]，1e3，真)，b = 样本(字母 [1:10]，1e3，真))

在没有其他参数的情况下调用 summary()，我们会在每列摘要的底部列出其他".

summary(df)# a b# d :132 克 :118# c :131 b :108# f :131 e :106# a :123 f :104# g :123 d :103# e :122 j :103#(其他):238(其他):358

现在，如果我们将 maxsum 调整为所有列的最大唯一值数的长度，我们将得到所有列出的值.

summary(df, maxsum = max(lengths(lapply(df, unique))))# a b# a:123 a: 94# b:120 b:108# c:131 c:99# d:132 d:103# e:122 e:106# f:131 f:104# 克:123 克:118# 小时:118 小时:92#我:73# j:103

请注意，maxsum 也可以是 maxsum = length(Reduce(union, df))，并且假设您正在使用数据框.>

How can I display the complete output summary, without classifying any values as "Other"?

summary(d)
     Date.of.Sale   City               Department      Product     
 1/18/2015 :  149   A:5290   Footwear Mens  : 538   13245  :  255  
 1/25/2015 :  149   B:2078   Home Furnishing:1937   15350  :  255  
 11/23/2014:  149   C:5088   Infant W-Wear  : 992   15352  :  255  
 11/30/2014:  149            Ladies Lower   :1735   15353  :  255  
 12/14/2014:  149            Ladies Upper   :1805   15355  :  255  
 12/21/2014:  149            Mens Lower     :2039   15356  :  255  
 (Other)   :11562            Mens Upper     :3410   (Other):10926  
            Sale      Predicted.Sale       Flag      
 0            :3963   0      :3279   Forecast: 1341  
 Not Available:1341   1      :1951   History :11115  
 1            :1145   2      : 946                   
 2            : 797   3      : 700                   
 3            : 557   4      : 572                   
 4            : 498   5      : 438                   
 (Other)      :4155   (Other):4570   

解决方案

Aside: It looks like your data has factor columns where they should be numeric. You may want to have a look at that as it may cause issues for you in later analysis.

---

As far as your call to summary() goes, you can adjust the maxsum argument. We find in help(summary) that this can be used to change the amount of information shown in the summary

maxsum - integer, indicating how many levels should be shown for factors.

So let's have a look at this at work with a two-column data frame example -

set.seed(12)
df <- data.frame(
    a = sample(letters[1:8], 1e3, TRUE), 
    b = sample(letters[1:10], 1e3, TRUE)
)

Calling summary() with no other arguments, we get "Other" listed at the bottom of each column summary.

summary(df)
#       a             b      
# d      :132   g      :118  
# c      :131   b      :108  
# f      :131   e      :106  
# a      :123   f      :104  
# g      :123   d      :103  
# e      :122   j      :103  
# (Other):238   (Other):358 

Now if we adjust maxsum to the length of the maximum number of unique values of all columns, we get all the values listed.

summary(df, maxsum = max(lengths(lapply(df, unique))))
#  a       b      
#  a:123   a: 94  
#  b:120   b:108  
#  c:131   c: 99  
#  d:132   d:103  
#  e:122   e:106  
#  f:131   f:104  
#  g:123   g:118  
#  h:118   h: 92  
#          i: 73  
#          j:103  

Note that maxsum could also be maxsum = length(Reduce(union, df)), and that this assumes that you are working with a data frame.

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