result_create(conn@ptr, statement) : 结果太大

Question

t1_DA <- sqldf("select decile, 
               count(decile) as count, avg(pred_spent) as avg_pred_spent,   
               avg(exp(total_spent)) as avg_total_spent,
               avg(log(pred_spent)) as ln_avg_pred_spent,   
               avg(total_spent) as ln_avg_total_spent
               from t1
               group by decile
               order by decile desc")

我正在对一个文件进行线性回归，当我运行这部分代码时出现以下错误

Error in result_create(conn@ptr, statement) : Result too large

有什么方法可以克服这个错误吗？

Answer 1

如前所述，默认情况下 sqldf 使用 SQLite 方言，它不支持广泛的数学和统计函数，如 exp 和 log。不可否认，一个更好的引发消息可以帮助用户调试而不是 结果太大（对于作者，@ggrothendieck 可能是 git issue？）。

但是，为了将这些输出集成到聚合查询中，请考虑在 sqldf 中创建这些列 before 运行。使用 transform 或 within 进行简单的新列分配，而无需使用 $ 分配方法不断引用数据框。

t1 <- transform(t1, exp_total_spent = exp(total_spent),
                    log_pred_spent = log10(log_pred_spent)
                )
# ALTERNATIVE
t1 <- within(t1, {exp_total_spent <- exp(total_spent)
                  log_pred_spent <- log10(log_pred_spent)
             })

t1_DA <- sqldf("select decile, 
                       count(decile) as count, 
                       avg(pred_spent) as avg_pred_spent,   
                       avg(exp_total_spent) as avg_total_spent,
                       avg(log_pred_spent) as ln_avg_pred_spent,   
                       avg(total_spent) as ln_avg_total_spent
                from t1
                group by decile
                order by decile desc")

result_create(conn@ptr, statement) : 结果太大

result_create(conn@ptr, statement) : Result too large

r

linear-regression

sqldf