mutate() adds new variables that are functions of existing variables. summarise() reduces multiple values down to a single summary. Rows: filter()chooses rows based on column values. arrange()changes the order of the rows. slice()chooses rows based on location. Columns: select()changes whether...
separateis part of thetidyrpackage, and it can be used to split a character column into multiple columns with regular expressions or numeric locations. In this code example, we declare a data frame that contains comma-separated strings of name/surname pairs.separatefunction takes the data frame...
filterGTF( gtfDataFrame, splitIDColumn=FALSE, select="ALL" ) - can be used on the dataFrame returned from getting a GTF. The options can be used seperately or together. splitIDColumn - indicates if the 9th column of additional annotations should be split into multiple columns. Currently this...
# split by a vector specifying row classes, 有点类似于ggplot2里的分面 Heatmap(df, name = "mtcars", col = mycol, split = mtcars$cyl ) #split也可以是一个数据框,其中不同级别的组合拆分热图的行。 # Split by combining multiple variables Heatmap(df, name ="mtcars", col = mycol, split ...
我相信大家经常会使用Excel对数据进行排序。有时候我们会按照两个条件来对数据排序。假设我们手上有下面这...
df_unite(): Unite multiple columns into one. df_unite_factors(): Unite factor columns. First, order factors levels then merge them into one column. The output column is a factor. df_label_both(),df_label_value(): functions to label data frames rows by by one or multiple grouping varia...
df_unite(): Unite multiple columns into one. df_unite_factors(): Unite factor columns. First, order factors levels then merge them into one column. The output column is a factor. df_label_both(),df_label_value(): functions to label data frames rows by by one or multiple grouping varia...
Replace Values in Factor Vector or Column Replace Values in Vector in R Replace NA Values in Column by Other Variable Split Data Frame Variable into Multiple Columns Sum of Two or Multiple Data Frame Columns Sort Data Frame by Multiple Columns in R Count Non-Zero Values in Vector & Data Fra...
clustering_method_columns = "ward.D") 热图拆分 有很多方法来拆分热图。一个解决方案是应用k-means使用参数km。 在执行k-means时使用set.seed()函数很重要,这样可以在稍后精确地再现结果 set.seed(1122) # split into 2 groupsHeatmap(df, name = "mtcars", col = mycol, k = 2) ...
第二个参数是:The second argument describes which columns need to be reshaped. In this case, it’s every column apart from religion. 具体解释下:!religion是排除这个因素;其它的列-V2 都参与进去reshape;把所有的带有count值的列都统计进去 第三个参数是:给V2这个变量作为一列,自命名;The names_to giv...