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[英]How to get rows of a dataframe that contain values between two other values?
[英]in R how to get rows that contain values in a list and create a dataframe of counts
我有一個包含以下內容的數據框:
Meal Contents
Type_1 redberries,strawberry,blackberry
Type_2 banana,apple,strawberry,
Type_3 rice,chicken
Type_4 beef,stringbeans,mashpotatoes
Type_5 banana,strawberry,berry,cantaloupe
我創建了Contents列的矢量表示,新的df2是
Meal Contents Strawberry Banana Rice
Type_1 redberries,strawberry,blackberry 1 0 0
Type_2 banana,apple,strawberry, 1 1
Type_3 rice,chicken 0 0
Type_4 beef,stringbeans,mashpotatoes 0 0
Type_5 banana,strawberry,berry,cantaloupe 1 1
我試圖根據計數獲得前2個內容:
top2_v1 <- c("strawberry","banana")
但是我很想嘗試獲取包含前N個含量的膳食類型計數的頻率分布???
我可以使用df2數據幀中的top2_v1運行循環,以便創建另一個數據幀,讓我知道每個前N個內容的頻率嗎?
試試看(從df2開始):
df2
Meal Contents apple banana beef berry blackberry cantaloupe chicken mashpotatoes redberries rice strawberry stringbeans
1 Type_1 redberries,strawberry,blackberry 0 0 0 0 1 0 0 0 1 0 1 0
2 Type_2 banana,apple,strawberry, 1 1 0 0 0 0 0 0 0 0 1 0
3 Type_3 rice,chicken 0 0 0 0 0 0 1 0 0 1 0 0
4 Type_4 beef,stringbeans,mashpotatoes 0 0 1 0 0 0 0 1 0 0 0 1
5 Type_5 banana,strawberry,berry,cantaloupe 0 1 0 1 0 1 0 0 0 0 1 0
n <- 2
topn_v1 <- names(sort(colSums(df2[3:ncol(df2)]), decreasing=TRUE))[1:n]
indices <- apply(df2, 1, function(x) any(as.integer(as.character(x[topn_v1]))))
df2[indices,] # Meals that contain at least one of the top_n Contents
Meal Contents apple banana beef berry blackberry cantaloupe chicken mashpotatoes redberries rice strawberry stringbeans
1 Type_1 redberries,strawberry,blackberry 0 0 0 0 1 0 0 0 1 0 1 0
2 Type_2 banana,apple,strawberry, 1 1 0 0 0 0 0 0 0 0 1 0
5 Type_5 banana,strawberry,berry,cantaloupe 0 1 0 1 0 1 0 0 0 0 1 0
table(df2[indices,]$Meal)
Type_1 Type_2 Type_3 Type_4 Type_5
1 1 0 0 1
table(df2[indices,]$Meal) / nrow(df[indices,]) # in proportion
Type_1 Type_2 Type_3 Type_4 Type_5
0.3333333 0.3333333 0.0000000 0.0000000 0.3333333
嘗試這個:
n <- 2
topn_v1 <- names(sort(colSums(df2[3:ncol(df2)]), decreasing=TRUE))[1:n]
indices <- apply(df2, 1, function(x) any(as.integer(as.character(x[topn_v1]))))
table(df2[indices,]$Meal)
table(df2[indices,]$Meal) / nrow(df[indices,])
barplot(sort(table(df2[indices,]$Meal) / nrow(df[indices,]), decreasing = TRUE),
ylab='Proportions')
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