如何解决这是对数据框进行排序以在ANOVAaov中获得明智结果的正确方法吗？
我（理论上）理解了如何解释方差分析的结果。我还知道执行LMER测试时此处介绍的格式还可以，但是由于样本量很小，因此仅限于Anova。
基本上，我想看看当“辅音”列的值为“单音”或“分格”时，变量C2.dn的持续时间值是否显示任何持续时间差异？同样，V1.dn和V2.dn是否显示任何持续时间差异？通过比较音素的方式，我已经证实了这些。
环境。
此处的单词，例如chape，chappe（Row 1,2，Col'Filename'）是最小对，其中V1_xsampa表示元音[a / @]，C2_xsampa表示辅音[p ]或[p：]
V2_xsampa表示词尾[e：]。所有这些音素在其各自的列（V1.dn，C2.dn，V2.dn）中都有其数字（持续时间）值。
我希望我能清楚地理解。我是R的新手。任何帮助都很好。
以下是我的部分数据：
Filename Speaker Consonant Place Manner Voicing Beforevowel Gender V1.dn V1_xsampa C2.dn C2_xsampa V2.dn V2_xsampa
AK_chape.TextGrid 1 Singleton Bilabial Stop Voiceless Short F 8.1905057 @ 8.0042611 p 12.4374436 e:
AK_chappe.TextGrid 1 Geminate Bilabial Stop Voiceless Short F 7.4699013 @ 16.4554347 p: 11.58376 e:
AK_fati.TextGrid 1 Singleton Retroflex Stop Voiceless Short F 5.7985668 @ 8.422198 t` 12.3438846 i:
AK_fatti.TextGrid 1 Geminate Retroflex Stop Voiceless Short F 5.8838506 @ 15.216855 t`: 10.2798309 i:
AK_katha.TextGrid 1 Singleton Dental/alveolar Stop Voiceless Short F 7.4477162 @ 8.7118953 t_d_h 11.3864323 A:
AK_kute.TextGrid 1 Singleton Dental/alveolar Stop Voiceless Short F 7.3607761 U 7.3607761 t_d 13.4668744 e:
AK_kutte.TextGrid 1 Geminate Dental/alveolar Stop Voiceless Short F 3.9207081 U 19.7175146 t_d: 13.7452732 e:
AK_saka.TextGrid 1 Singleton Velar Stop Voiceless Short F 5.4760697 @ 8.2999095 k 11.4918 A:
AK_sakka.TextGrid 1 Geminate Velar Stop Voiceless Short F 3.9745773 @ 20.1309756 k: 11.7704 A:
DS_chape.TextGrid 2 Singleton Bilabial Stop Voiceless Short M 5.9323219 @ 8.4378223 p 9.0162588 e:
DS_chappe.TextGrid 2 Geminate Bilabial Stop Voiceless Short M 5.314411 @ 19.3487061 p: 10.7748222 e:
DS_fatti.TextGrid 2 Geminate Retroflex Stop Voiceless Short M 4.9362393 @ 15.856267 t`: 10.0846991 i:
DS_katha.TextGrid 2 Singleton Dental/alveolar Stop Voiceless Short M 3.3544421 @ 12.6160778 t_d_h 9.1561501 A:
DS_kattha.TextGrid 2 Geminate Dental/alveolar Stop Voiceless Short M 4.7437072 @ 18.4249058 t_d_h: 9.9078116 A:
DS_kute.TextGrid 2 Singleton Dental/alveolar Stop Voiceless Short M 6.207953 U 8.1345232 t_d 10.9098312 e:
DS_kutte.TextGrid 2 Geminate Dental/alveolar Stop Voiceless Short M 4.8676863 U 18.8453944 t_d: 11.3500882 e:
DS_saka.TextGrid 2 Singleton Velar Stop Voiceless Short M 5.5258074 @ 7.9832433 k 10.4823813 A:
DS_sakka.TextGrid 2 Geminate Velar Stop Voiceless Short M 5.3065367 @ 17.4189197 k: 10.9633842 A:
MS_chape.TextGrid 3 Singleton Bilabial Stop Voiceless Short F 7.0595707 @ 8.3394356 p 7.7437615 e:
MS_chappe.TextGrid 3 Geminate Bilabial Stop Voiceless Short F 5.7527086 @ 14.4179403 p: 9.6957258 e:
MS_fati.TextGrid 3 Singleton Retroflex Stop Voiceless Short F 5.5312929 @ 10.1303456 t` 11.9326769 i:
MS_fatti.TextGrid 3 Geminate Retroflex Stop Voiceless Short F 4.7868677 @ 15.4153364 t`: 8.416162 i:
MS_katha.TextGrid 3 Singleton Dental/alveolar Stop Voiceless Short F 6.168022 @ 10.7629914 t_d_h 9.2727311 A:
MS_kattha.TextGrid 3 Geminate Dental/alveolar Stop Voiceless Short F 5.2644637 @ 15.2593152 t_d_h: 9.6438871 A:
MS_kute.TextGrid 3 Singleton Dental/alveolar Stop Voiceless Short F 5.855083 U 6.6463105 t_d 9.0199928 e:
MS_kutte.TextGrid 3 Geminate Dental/alveolar Stop Voiceless Short F 3.8559587 U 16.2366101 t_d: 9.9234229 e:
MS_saka.TextGrid 3 Singleton Velar Stop Voiceless Short F 5.205498 @ 7.4699608 k 7.7971282 A:
MS_sakka.TextGrid 3 Geminate Velar Stop Voiceless Short F 5.894072 @ 13.6923826 k: 9.1358116 A:
NS_chape.TextGrid 4 Singleton Bilabial Stop Voiceless Short F 7.4994399 @ 8.8423147 p 7.5200995 e:
NS_chappe.TextGrid 4 Geminate Bilabial Stop Voiceless Short F 4.5631368 @ 15.3298145 p: 9.4684148 e:
编辑：
头（df）
文件名发言人辅音位置方式发声前韵母性别V1.dn V1_xsampa C2.dn C2_xsampa
1 AK_chape.TextGrid 1单例双唇停止清音短F 8.190506 @ 8.004261 p
2 AK_chappe.TextGrid 1 Geminate Bilabial Stop清音短音F 7.469901 @ 16.455435 p：
3 AK_fati.TextGrid 1单例Retroflex停止无声短音F 5.798567 @ 8.422198 t 4 AK_fatti.TextGrid 1 Geminate Retroflex Stop Voiceless Short F 5.883851 @ 15.216855 t：
5 AK_katha.TextGrid 1单例牙科/牙槽停止清音短F 7.447716 @ 8.711895 t_d_h
6 AK_kute.TextGrid 1单例牙科/牙槽停止清音短促F 7.360776 U 7.360776 t_d
V2.dn V2_xsampa V1_dn C2_dn V2_dn
1 12.43744 e：0.08190506 0.08004261 0.1243744
2 11.58376电子邮件：0.07469901 0.16455435 0.1158376
3 12.34388我：0.05798567 0.08422198 0.1234388
4 10.27983 i：0.05883851 0.15216855 0.1027983
5 11.38643 A：0.07447716 0.08711895 0.1138643
6 13.46687 e：0.07360776 0.07360776 0.1346687
EDIT2： dput（head（df））
文件名发言人辅音位置方式发声前韵母性别V1.dn V1_xsampa C2.dn C2_xsampa
1 AK_chape.TextGrid 1单例双唇停止清音短F 8.190506 @ 8.004261 p
2 AK_chappe.TextGrid 1 Geminate Bilabial Stop清音短F 7.469901 @ 16.455435 p：
3 AK_fati.TextGrid 1单例Retroflex停止无声短音F 5.798567 @ 8.422198 t 4 AK_fatti.TextGrid 1 Geminate Retroflex Stop Voiceless Short F 5.883851 @ 15.216855 t：
5 AK_katha.TextGrid 1单例牙科/牙槽停止清音短F 7.447716 @ 8.711895 t_d_h
6 AK_kute.TextGrid 1单例牙科/牙槽停止清音短促F 7.360776 U 7.360776 t_d
V2.dn V2_xsampa V1_dn C2_dn V2_dn
1 12.43744 e：0.08190506 0.08004261 0.1243744
2 11.58376电子邮件：0.07469901 0.16455435 0.1158376
3 12.34388我：0.05798567 0.08422198 0.1234388
4 10.27983 i：0.05883851 0.15216855 0.1027983
5 11.38643 A：0.07447716 0.08711895 0.1138643
6 13.46687 e：0.07360776 0.07360776 0.1346687
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