diff --git a/MOAFStat.py b/MOAFStat.py
index 8aeabec..49f7b53 100644
--- a/MOAFStat.py
+++ b/MOAFStat.py
@@ -136,18 +136,19 @@ def process_autofocus_results(input_file, output_type="distance", group_size=30)
 
     # 计算误差、方向正确性等
     print_with_timestamp("开始进行图像级数据处理")
-    # 计算绝对/带符号误差
-    df_result["error_mean"] = np.abs(df_result["label"] - df_result["pred_mean"])
-    df_result["error_median"] = np.abs(df_result["label"] - df_result["pred_median"])
-    df_result["error_z_mean"] = np.abs(df_result["label"] - df_result["pred_z_mean"])
-    df_result["error_z_median"] = np.abs(df_result["label"] - df_result["pred_z_median"])
-    df_result["serror_mean"] = df_result["label"] - df_result["pred_mean"]
-    df_result["serror_median"] = df_result["label"] - df_result["pred_median"]
-    df_result["serror_z_mean"] = df_result["label"] - df_result["pred_z_mean"]
-    df_result["serror_z_median"] = df_result["label"] - df_result["pred_z_median"]
-    # 计算绝对/带符号误差景深比
     df_result["dof"] = ((550.0 * df_result["rix"]) / (df_result["na"] ** 2)) + ((df_result["rix"] * 3450.0) / (df_result["mag"] * df_result["na"]))
+
+    # 计算绝对/带符号误差/景深比
     if output_type == "ratio":
+        df_result["error_mean"] = np.abs(df_result["label"] / df_result["dof"] - df_result["pred_mean"])
+        df_result["error_median"] = np.abs(df_result["label"] / df_result["dof"] - df_result["pred_median"])
+        df_result["error_z_mean"] = np.abs(df_result["label"] / df_result["dof"] - df_result["pred_z_mean"])
+        df_result["error_z_median"] = np.abs(df_result["label"] / df_result["dof"] - df_result["pred_z_median"])
+        df_result["serror_mean"] = df_result["label"] / df_result["dof"] - df_result["pred_mean"]
+        df_result["serror_median"] = df_result["label"] / df_result["dof"] - df_result["pred_median"]
+        df_result["serror_z_mean"] = df_result["label"] / df_result["dof"] - df_result["pred_z_mean"]
+        df_result["serror_z_median"] = df_result["label"] / df_result["dof"] - df_result["pred_z_median"]
+
         df_result["error_ratio_mean"] = df_result["error_mean"]
         df_result["error_ratio_median"] = df_result["error_median"]
         df_result["error_ratio_z_mean"] = df_result["error_z_mean"]
@@ -157,6 +158,15 @@ def process_autofocus_results(input_file, output_type="distance", group_size=30)
         df_result["serror_ratio_z_mean"] = df_result["serror_z_mean"]
         df_result["serror_ratio_z_median"] = df_result["serror_z_median"]
     else:
+        df_result["error_mean"] = np.abs(df_result["label"] - df_result["pred_mean"])
+        df_result["error_median"] = np.abs(df_result["label"] - df_result["pred_median"])
+        df_result["error_z_mean"] = np.abs(df_result["label"] - df_result["pred_z_mean"])
+        df_result["error_z_median"] = np.abs(df_result["label"] - df_result["pred_z_median"])
+        df_result["serror_mean"] = df_result["label"] - df_result["pred_mean"]
+        df_result["serror_median"] = df_result["label"] - df_result["pred_median"]
+        df_result["serror_z_mean"] = df_result["label"] - df_result["pred_z_mean"]
+        df_result["serror_z_median"] = df_result["label"] - df_result["pred_z_median"]
+
         df_result["error_ratio_mean"] = df_result["error_mean"] / df_result["dof"]
         df_result["error_ratio_median"] = df_result["error_median"] / df_result["dof"]
         df_result["error_ratio_z_mean"] = df_result["error_z_mean"] / df_result["dof"]
@@ -165,6 +175,7 @@ def process_autofocus_results(input_file, output_type="distance", group_size=30)
         df_result["serror_ratio_median"] = df_result["serror_median"] / df_result["dof"]
         df_result["serror_ratio_z_mean"] = df_result["serror_z_mean"] / df_result["dof"]
         df_result["serror_ratio_z_median"] = df_result["serror_z_median"] / df_result["dof"]
+
     # 计算方向预测正确性
     df_result["direction_mean"] = (df_result['label'] * df_result['pred_mean'] >= 0).astype(int)
     df_result["direction_median"] = (df_result['label'] * df_result['pred_median'] >= 0).astype(int)