"column" (按列), "row" (按行), 或 "cell" (按单元格)。character ("column", "row", "cell")include可选。一个 tidyselect 表达式，用于选择要包含在表格中的变量。默认为 everything()。tidyselect 表达式 (如 c(age, grade), starts_with("a"))示例:我们将使用
R:Recency —— 客户最近一次交易时间的间隔。R值越大,表示客户交易距今越久,反之则越近; F:Frequency—— 客户在最近一段时间内交易的次数。F值越大,表示客户交易越频繁,反之则不够活跃; M:Monetary —— 客户在最近一段时间内交易的金额。M值越大,表示客户价值越高,反之则越低。
Date(data$Date) # Convert character string column to date data_ts <- xts(data[2:6], data$Date) # Convert data frame to time series data_ts # Print time series class(data_ts) # Check class of time series data_zoo<-as.zoo(data_ts) # convert to zoo ### INITILISATION X<-data_...
scale_fill_manual(values=getPalette(7),breaks =c("Unknown","Building","Skin","Feces","Urine","Mouth","Soil"), labels = paste(c("Unknown","Building","Skin","Feces","Urine","Mouth","Soil"),"(",round(c(new$ratio[new$source=="Unknown"],new$ratio[new$source=="Building"],new$ra...
## ## Cell Contents ## |---| ## | Count | ## | Expected Values | ## | Chi-square contribution | ## | Row Percent | ## | Column Percent | ## | Total Percent | ## |---| ## ## Total Observations in Table: 200 ## ## | data1$impro ## data1$treat | marked | ...
The table() function gives you a frequency count of all the unique values in a vector, includingTRUEandFALSE. freq_table <- table(logical_vec) print(freq_table) Output: FALSE TRUE 2 3 3. Using the dplyr Package Suppose you are working with a data frame, then dplyr packages will provide...
RFM分析主要由3个指标组成,分别为R(Recency,近度)、F(Frequency频度)、M(Monetary,额度)组成。RFM是三个指标的缩写:Recency:最近一次消费距离现在的时间,该值越小越好;Frequency:某段时间内的消费次数,这个值越大越好;Monetary:某段时间内的消费金额,对于企业来说,消费自然越多越好。这三个维度需要根据实际业务确定...
smote_imp <- lgb.importance(smote_model, percentage = TRUE) ggplot(smote_imp, aes(x = Frequency, y = reorder(Feature, Frequency), fill = Frequency)) + geom_bar(stat = "identity") + scale_fill_gradient(low="steelblue", high="tomato") + geom_text(aes(label = sprintf("%.4f", Freq...
# dplyr frequency table > install.packages('plyr') > library('plyr') > count(mtcars, 'cyl') dplry Frequency Table Example This table is a little more explanatory with the columns and rows labeled. This table includes distinct values, making creating a frequency count or relative frequency ta...
my_tab_sort3 <- my_tab %>% # Order table with dplyr as.data.frame() %>% arrange(desc(Freq)) my_tab_sort3 # Print ordered table as data frameTable 1 illustrates the RStudio console output of the previous R code. We have created a data frame that indicates the frequency counts of...