# Error in colSums(iris) : ‘x‘ must be numeric，# Error in rowSums(iris) : ‘x‘ must be numeric

Posted 2021-09-18 Data+Science+Insight

# Error in colSums(iris) : 'x' must be numeric，# Error in rowSums(iris) : 'x' must be numeric，# Error in colMeans(iris) : 'x' must be numeric，# Error in rowMeans(iris) : 'x' must be numeric

目录

# Error in colSums(iris) : 'x' must be numeric，# Error in rowSums(iris) : 'x' must be numeric，# Error in colMeans(iris) : 'x' must be numeric，# Error in rowMeans(iris) : 'x' must be numeric

问题：

解决：

完整错误：

---

问题：

data(iris)                                                  
# Load iris data
head(iris)                                                  
# First 6 rows of iris data

colSums(iris)                                               

# colSums error
# Error in colSums(iris) : 'x' must be numeric

rowSums(iris)                                               

# rowSums error
# Error in rowSums(iris) : 'x' must be numeric

colMeans(iris)                                              
# colMeans error
# Error in colMeans(iris) : 'x' must be numeric

rowMeans(iris)                                              
# rowMeans error
# Error in rowMeans(iris) : 'x' must be numeric

解决：

# 获取dataframe中的数值列

iris_subset <- unlist(lapply(iris, is.numeric))  
           
# Subset containing numeric columns
iris_subset
# Sepal.Length  Sepal.Width Petal.Length  Petal.Width      Species 
#         TRUE         TRUE         TRUE         TRUE        FALSE

# 不是数值型当然没法计算

colSums(iris[ , iris_subset])                                

# No colSums error anymore
# Sepal.Length  Sepal.Width Petal.Length  Petal.Width 
#        876.5        458.6        563.7        179.9

rowSums(iris[ , iris_subset])                                
# No rowSums error anymore
# 10.2  9.5  9.4  9.4 10.2 11.4  9.7 10.1  8.9  9.6...

colMeans(iris[ , iris_subset])                               
# No colMeans error anymore
# Sepal.Length  Sepal.Width Petal.Length  Petal.Width 
#     5.843333     3.057333     3.758000     1.199333

rowMeans(iris[ , iris_subset])                               
# No rowMeans error anymore
# 2.550 2.375 2.350 2.350 2.550 2.850 2.425 2.525...

 

完整错误：

# Error in colSums(iris) : 'x' must be numeric
# Error in rowSums(iris) : 'x' must be numeric
# Error in colMeans(iris) : 'x' must be numeric
# Error in rowMeans(iris) : 'x' must be numeric

......