duplicated(data1name), ] ) print("=====================") # remove duplicate rows using duplicated() # function based on id column print(data1[!duplicated(data1id), ] ) print("=====================") # remove d
step4 check duplicate anyDuplicated(data.noNA) #是否需要去重 frw.idx = which(duplicated(data.noNA)) #duplciated() will only give you the duplicated rows, # but not the original rows, so we need the next line to get the originals rvs.idx = which(duplicated(data.noNA, fromLast = TRUE)...
# 创建一个示例数据框 df <- data.frame( id = c(1, 2, 3, 4, 4, 5, 6), name = c("Alice", "Bob", "Charlie", "David", "David", "Eve", "Frank") ) # 使用duplicated()函数判断重复行 is_duplicate <- duplicated(df) # 使用逻辑索引选择非重复行 non_duplicate_rows <- df[!is...
sheet=x))#remove puplicates data[!duplicated(data),]})# create anewworkbookwb<-createWorkbook...
duplicate ‘row.names’ are not allowed In addition: Warning message: non-unique value when setting ‘row.names’: ‘Apple’ In this example, we see how to produce our error message. In this case, we have the row name “Apple” duplicated three times and we get ourerror messageas a re...
Error in X : arguments imply differing number of rows Error in X : attempt to select less than one element in get1index real Error in X : could not find function X Error in X : missing values are not allowed in subscripted assignments of data frames Error in X : incorrect number of ...
# Transform the R DataFrame to a Spark DataFrame df <- as.DataFrame(rdf) clean_data <- function(df) { sdf <- df %>% # Drop rows that have missing data across all columns na.omit() %>% # Drop duplicate rows in columns: 'RowNumber', 'CustomerId' dropDuplicates(c("RowNumber", ...
bind_rows [dplyr] – Bind rows of data sets. boxplot – Create a boxplot. break – Break for-loop in R. call – Create objects of the class call. case_when [dplyr] – Distinguish between cases based on logical conditions. casefold – Translate character to lower or upper case. ...
Introduction In data analysis and manipulation tasks, it’s common to encounter situations where we need to identify and handle duplicate rows in a dataset. In this blog post, we will explore three different approaches to finding duplicate rows i...
How do I delete duplicate rows from a data frame? You can use the duplicated() function to identify the duplicate rows and remove them. For instance, df <- df[!duplicated(df), ] How to delete rows with specific values in a column? You can use logical subsetting to delete rows with ...