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")
我正在对文件进行线性回归,当我运行这部分代码时,我得到了错误提示
result_create(conn @ ptr,语句)中的错误:结果太大
有什么办法可以克服这个错误?
答案 0 :(得分:1)
如前所述,默认情况下,sqldf
使用SQLite语言,该语言不支持exp
和log
等广泛的数学和统计功能。诚然,更好的提示信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汇总查询中,请考虑在sqldf中运行之前创建这些列。使用transform
或within
可以轻松进行新的列分配,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")