statsape Q&A-第4页

自变量共线性筛查VIF：使用相关分析检查绝对相关的变量，去除相关系数为1的其中一个变量-决策链社区论坛

自变量共线性筛查VIF：使用相关分析检查绝对相关的变量，去除相关系数为1的其中一个变量

# 自变量共线性筛查VIF

7个月前

01497

SHAP解释器SE：Error in permshap.default(model rr, X= train set, feature names = xvars, :
Permutation SHAP only supported for up to 14 features-决策链社区论坛

SHAP解释器SE：Error in permshap.default(model rr, X= train set, feature names = xvars, : Permutation SHAP only supported for up to 14 features

# SHAP解释器SE

6个月前

014613

数据分箱：unsupperted operand type(s) for -:'str' and 'str'-决策链社区论坛

数据分箱：unsupperted operand type(s) for -:’str’ and ‘str’

10个月前

0967

Error in readRDS(model URl port) : 'file'◆◆◆◆◆◆◆-决策链社区论坛

Error in readRDS(model URl port) : ‘file’◆◆◆◆◆◆◆

# 端口连接错误

10个月前

025213

运算因错误中止，原因：Error in mediation::mediate(model_med, model_total, treat = var_treatment, :weights on outcome and mediator models not identical-决策链社区论坛

运算因错误中止，原因：Error in mediation::mediate(model_med, model_total, treat = var_treatment, :weights on outcome and mediator models not identical

# 模型中介效应

10个月前

019211

Meta偏差分析生成结果表但表中结果为空-决策链社区论坛

Meta偏差分析生成结果表但表中结果为空

# Meta偏差分析

10个月前

015914

该组数据无法绘制统计表-决策链社区论坛

该组数据无法绘制统计表

# KM生存曲线

10个月前

0985

Error in gbm.unify(model, data):Models built on data with categorical features are not supported - please encode them before training.-决策链社区论坛

Error in gbm.unify(model, data):Models built on data with categorical features are not supported – please encode them before training.

# SHAP解释器SE

10个月前

01946

限制性立方样条：Error in quantile.default(WD[, var predictl, plotRcs::knot(num point pred)).(unordered)factors are not allowed-决策链社区论坛

限制性立方样条：Error in quantile.default(WD[, var predictl, plotRcs::knot(num point pred)).(unordered)factors are not allowed

# 限制性立方样条

10个月前

01208

Error in purrr:map(var subgroups, ~TableSubgroupGLM(formula, var subgroup =.
Caused by error in`.svycheck():
!..2 used in an incorrect context, no .. to look in-决策链社区论坛

Error in purrr:map(var subgroups, ~TableSubgroupGLM(formula, var subgroup =. Caused by error in`.svycheck(): !..2 used in an incorrect context, no .. to look in

9个月前

01135

XGBoost：Invalid classes inferred from unique values of `y. Expected: [0 1], got [1 2]。-决策链社区论坛

XGBoost：Invalid classes inferred from unique values of `y. Expected: [0 1], got [1 2]。

8个月前

016111

机器学习分类模型SE：Error in self$assert(xs, sanitize = TRUE) :Assertion on 'xs' failed: num.threads: May not be NA-决策链社区论坛

机器学习分类模型SE：Error in self$assert(xs, sanitize = TRUE) :Assertion on ‘xs’ failed: num.threads: May not be NA

# 机器学习分类模型SE

7个月前

07912

Error in paste(self$Code, self$ld, sep =

Error in paste(self$Code, self$ld, sep = ” “):cannot get ALTSTRING ELT during GC

10个月前

016515

Error in coxph(formula = Surv(Survival_time, vital_status) ~ FOXD2.AS1 + :an id statement is required for multi-state models-决策链社区论坛

Error in coxph(formula = Surv(Survival_time, vital_status) ~ FOXD2.AS1 + :an id statement is required for multi-state models

# 调查设计COX回归 # cox回归

10个月前

019210

Error in sapply(object,

Error in sapply(object, “[[“, “loglik”)[2, ] :incorrect number of dimensions

# 似然比检验

10个月前

05815

Permission denied: 'XXXXXXXX/run logic coef.tsv'.-决策链社区论坛

Permission denied: ‘XXXXXXXX/run logic coef.tsv’.

10个月前

01448

Error in if (class(model)[1] !=

Error in if (class(model)[1] != “glm” & class(model)[2] != “lm” & class(model)[1] != :missing value where TRUE/FALSE needed

# 相对超额风险分析

10个月前

0829

分类预测：‘DecisionTreeRegressor' object has no attribute 'predict proba'-决策链社区论坛

分类预测：‘DecisionTreeRegressor’ object has no attribute ‘predict proba’

10个月前

01076

Mimic数据库：connection to server at

Mimic数据库：connection to server at “127.0.0.1”, port 33334 failed: Connection refused (0x0000274D/10061)Is the server runnina on that host and accepting TCP/P connections?

# Mimic数据库

7个月前

017010

数据分箱：Bin edges must be unique: index([0.15, 0.19, 0.19, 0.22, 17.35], dtype='float64', name='LBXlHG

数据分箱：Bin edges must be unique: index([0.15, 0.19, 0.19, 0.22, 17.35], dtype=’float64′, name=’LBXlHG”)You can drop duplicate edaes by settina the ‘duplicates’ kwara

9个月前

014510

插补空值：Please convert object columns to categorical or some numeric type-决策链社区论坛

插补空值：Please convert object columns to categorical or some numeric type

8个月前

01095

预测器SE：Error in model_rr$predict_newdata(newdata = newdata, task = tsk_wd) : attempt to apply non-function-决策链社区论坛

预测器SE：Error in model_rr$predict_newdata(newdata = newdata, task = tsk_wd) : attempt to apply non-function

6个月前

01277

Error in data.frame(predict(model, type =

Error in data.frame(predict(model, type = “response”), WD[, var_dependent]) :参数值意味着不同的行数: 139, 211

10个月前

010326

Error in strsplit(var_independent_raw,

Error in strsplit(var_independent_raw, “,”) : non-character argument

10个月前

07213

Error in quantile.default(WD[, var_independent[i]], probs = numeric_vector) :'na.rm'如果设为FALSE的话不允许有遺漏值和NaN-决策链社区论坛

Error in quantile.default(WD[, var_independent[i]], probs = numeric_vector) :’na.rm’如果设为FALSE的话不允许有遺漏值和NaN

# 分位数节点

10个月前

08213

Error: Rank deficient model matrix; insufficient data to estimate full model.Model coefficient(s) estimated as NA: cyl2:am1Likely empty cells in between-subjects design (i.e., bad data structure).-决策链社区论坛

Error: Rank deficient model matrix; insufficient data to estimate full model.Model coefficient(s) estimated as NA: cyl2:am1Likely empty cells in between-subjects design (i.e., bad data structure).

# Two-Way-ANOVA

10个月前

01077

Error in lme.formula(as.formula(fml), data = WD, random = as.formula(fml_rand)) :fewer observations than random effects in all level 1 groups-决策链社区论坛

Error in lme.formula(as.formula(fml), data = WD, random = as.formula(fml_rand)) :fewer observations than random effects in all level 1 groups

# 线性混合模型

10个月前

01028

转换多变量标签编码：The truth value of a Series is ambiguous. Use a.empty, a.bool(, a.item(, a.any( or a.all0).-决策链社区论坛

转换多变量标签编码：The truth value of a Series is ambiguous. Use a.empty, a.bool(, a.item(, a.any( or a.all0).

# 转换多变量标签编码

10个月前

0777

生存分析ROC图：Error in roc.default(response, predictors[, 1], ...) : 'response' must have two levels-决策链社区论坛

生存分析ROC图：Error in roc.default(response, predictors[, 1], …) : ‘response’ must have two levels

9个月前

012214

正类问题：Error in assert binary(truth, prob = prob, positive = positive, na value = na value) Assertion on 'positive' failed: Must be of type 'string', not

正类问题：Error in assert binary(truth, prob = prob, positive = positive, na value = na value) Assertion on ‘positive’ failed: Must be of type ‘string’, not “integer’

# 机器学习SE # ROC # AUC

7个月前

023313