(statistic = jb_stat, p_value = p_value)) } data_for_analysis <- dataset %>% select(SD, FFE, BERD, GBARD, CEM, OP) descriptive_stats <- data_for_analysis %>% summarise_all(list( mean = mean, mode = calculate_mode, median = median, kurtosis = kurtosis, skewness = skewness, ...
reps是重复抽取样本的次数,即产生了reps个样本容量和原样本一样的样本,然后可以直接calculate不用group_by calculate(data, stat = c("mean", "median", "sum", "sd", "prop", "count", "diff in means", "diff in medians", "diff in props", "Chisq", "F","slope", "correlation", "t", "...
by(ma[3:4],ma$group,stat.desc)#对数据框ma中的第3列和第4列变量按group分组,分别进行stat.desc获取描述统计量后输出结果 如果想输出正态分布的统计量,命令如下: by(ma[3:4],ma$group,function(x)stat.desc(x,norm=TRUE))#对数据框ma中的第3列和第4列变量按group分组,分别进行stat.desc获取基本描述...
# Calculate silhouette width for many k using PAMsil_width<-c(NA)for(iin2:10){pam_fit<-pam(gower_dist,diss=TRUE,k=i)sil_width[i]<-pam_fit$silinfo$avg.width}# Plot sihouette width (higher is better)plot(1:10,sil_width,xlab="Number of clusters",ylab="Silhouette Width")lines(1:1...
p:the probability level to use to calculate the confidence interval on the mean (CI.mean). By default, p=0.95
Learn how to calculate the median in R, as well as how to calculate the median by group with both discrete and continuous data
我加入了两个表(发货量和退货量),并使用group by查看某些条件的总数。这两个表通过shipment_id关联。此列大部分是唯一的,但包含一些重复项,因为每个发货可以包含表中也包含的多个项目。我在试着统计所有不同的货物,按仓库、卖家和大小分组。计数(distinct效果很好,但如果要分组的项的范围很大,则与group by一起使...
ave() will compute the median age for each gender category and assign the values to the new column median_age. Example 3: Finding Maximum Temperature by Month Let’s say we have a weather dataset containing temperature readings for different months. We can use ave() to calculate the maximum...
数据框来源主要包括用代码新建(data.frame),由已有数据转换或处理得到(取子集、运算、合并等操作),读取表格文件(read.csv,read.table等)及R语言内置数据 函数data.frame生成指定数据框的列名及列的内容,如代码所示,此时列名不需添加"",df1为变量名,格式为列名=列的向量 ...
1In [9]:23#Calculate silhouette width for many k using PAM45sil_width <-c(NA)67for(iin2:10){89pam_fit <-pam(gower_dist,10diss =TRUE,11k =i)1213sil_width[i] <-pam_fit$silinfo$avg.width1415}1617#Plot sihouette width (higher is better)1819plot(1:10, sil_width,20xlab ="Number...