cat( "Original Dataframe\n" ) print (df) # Creating an extra variable column # "log_Age" which is log of variable column "Age" # Using mutate() command newDf = mutate(df, log_Age = log(Age)) cat( "After creating extra variable column\n" ) print (newDf) 输出如下: Original Data...
# Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4 Group 1 ...
# Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4 Group 1 ...
data[rowNumber,columnName]<-“newValue” 向dataframe添加一行 要在dataframe中添加一行,请使用rbind()函数,该函数接受两个参数。一个是dataframe,另一个是我们需要作为元素列表插入的行。rbind的语法如下- rbind(dataframeName,list(data1,data2,...)) 向dataframe添加列 要将列添加到dataframe中,请使用接受两个...
这是向现有 DataFrame 添加一个或多个列的便捷方法。 用法 add_column( .data, ..., .before = NULL, .after = NULL, .name_repair = c("check_unique", "unique", "universal", "minimal") ) 参数 .data 要附加到的 DataFrame 。 ... < dynamic-dots > Name-value 对,传递给 tibble() 。
For example, the Feature Type row shows what data types Machine Learning Studio (classic) assigned to the column. Check this view before you start to do any serious work.First R scriptLet's create a simple first R script to experiment within Machine Learning Studio (classic). We created ...
例如,在筆記本資料格中執行下列程式碼,以用來SparkR::createOrReplaceTempView取得前面名為jsonTableDataFrame 的內容,並將暫存檢視從中命名為timestampTable。 然後,使用sparklyr::spark_read_table來讀取暫存檢視的內容。 使用sparklyr::collect預設列印臨時表的前 10 個數據列: ...
# Create the DataFrame df <-createDataFrame(sqlContext, faithful) # Get basic information about the DataFrame df ## DataFrame[eruptions:double, waiting:double] # Select only the "eruptions" column head(select(df, df$eruptions)) ## eruptions ...
With those comments in mind, let's walk through how to add a new column to a dataframe using base R. Create a new dataframe First, we will create a new dataframe using thetribble()function. After creating it, we'll quickly print out the data just to inspect it. ...
当我遇到类似的问题时，我就是这样做的。不是最复杂的解决方案，但它是有效的。