##Comparaison des groupes de répondeurs et non répondeurs sselon VEMS et selon HID

exemple de Comparaison sur la base de la réponse_VEMS au temps T0

ggplot(HID, aes(y=VEMS.ml_0, x=Repondeur_VEMS, colour=Repondeur_VEMS, fill=Repondeur_VEMS))+
     geom_jitter(height=0, width=0.25)+
    geom_boxplot(alpha=0.5,notch=TRUE)
## notch went outside hinges. Try setting notch=FALSE.

Exemple Comparaison sur la base de la réponse_VEMS au temps T1

ggplot(HID, aes(y=VEMS.ml_1, x=Repondeur_VEMS, colour=Repondeur_VEMS, fill=Repondeur_VEMS))+
     geom_jitter(height=0, width=0.25)+
    geom_boxplot(alpha=0.5,notch=TRUE)

##les tests vont se faire à partir des données brutes au temps T0 et au temps T1 des patients ayant une hyperinflation ensuite comparaison des deux groupes des patients selon la reponse : Répondeur VEMS et répondeur HID

Comparaison des groupes Repondeurs/Non repondeurs selon HID

t.test(HID$volume_lobe.T._0~ HID$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$volume_lobe.T._0 by HID$Repondeur_HID
## t = 0.65789, df = 29, p-value = 0.5158
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -299.9686  584.4644
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    1738.176                    1595.929
t.test(HID$volume.lobe.T._1~ HID$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$volume.lobe.T._1 by HID$Repondeur_HID
## t = 3.5428, df = 29, p-value = 0.001362
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##   325.0607 1212.9309
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                   1162.3529                    393.3571
t.test(HID$MMRC_0~ HID$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$MMRC_0 by HID$Repondeur_HID
## t = 0.20646, df = 33, p-value = 0.8377
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.4340396  0.5320789
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    3.166667                    3.117647
t.test(HID$MMRC_1~ HID$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$MMRC_1 by HID$Repondeur_HID
## t = 1.6567, df = 33, p-value = 0.1071
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.1185109  1.1577266
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    2.166667                    1.647059
t.test(HID$BODE_0~ HID$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$BODE_0 by HID$Repondeur_HID
## t = -0.82459, df = 32, p-value = 0.4157
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -1.6330546  0.6918781
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    5.294118                    5.764706
t.test(HID$BODE_1~ HID$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$BODE_1 by HID$Repondeur_HID
## t = 1.9483, df = 32, p-value = 0.06019
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.05350556  2.40644674
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    4.411765                    3.235294
t.test(HID$VEMS.ml_0~ HID$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$VEMS.ml_0 by HID$Repondeur_HID
## t = 0.95376, df = 35, p-value = 0.3467
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -107.2772  297.3949
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    988.0000                    892.9412
t.test(HID$VEMS.ml_1~ HID$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$VEMS.ml_1 by HID$Repondeur_HID
## t = -0.2954, df = 35, p-value = 0.7694
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -304.2425  226.9484
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    1089.000                    1127.647
t.test(HID$Tiffe_0_b~ HID$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$Tiffe_0_b by HID$Repondeur_HID
## t = 0.18899, df = 35, p-value = 0.8512
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -5.386644  6.492526
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    38.20000                    37.64706
t.test(HID$Tiffe_1~ HID$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$Tiffe_1 by HID$Repondeur_HID
## t = -0.40542, df = 35, p-value = 0.6876
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -7.367945  4.915004
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    37.95000                    39.17647
t.test(HID$CV_ml_0~ HID$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$CV_ml_0 by HID$Repondeur_HID
## t = 1.7098, df = 35, p-value = 0.09616
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -83.74298 977.74298
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                        2917                        2470
t.test(HID$CV_ml_1~ HID$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$CV_ml_1 by HID$Repondeur_HID
## t = 0.87607, df = 35, p-value = 0.387
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -292.4405  736.4405
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                        3042                        2820
t.test(HID$VR_ml_0~ HID$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$VR_ml_0 by HID$Repondeur_HID
## t = -0.14602, df = 35, p-value = 0.8847
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -712.7304  617.0833
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    5031.000                    5078.824
t.test(HID$VR_ml_1~ HID$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$VR_ml_1 by HID$Repondeur_HID
## t = 0.91714, df = 35, p-value = 0.3653
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -424.7999 1124.9175
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    4613.000                    4262.941
t.test(HID$CPT_ml_0~ HID$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$CPT_ml_0 by HID$Repondeur_HID
## t = 1.3168, df = 35, p-value = 0.1965
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -272.2727 1277.4904
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    8065.550                    7562.941
t.test(HID$CPT_ml_1~ HID$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$CPT_ml_1 by HID$Repondeur_HID
## t = 0.73049, df = 35, p-value = 0.4699
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -640.9426 1361.4720
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    7488.500                    7128.235
t.test(HID$TLCO_0~ HID$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$TLCO_0 by HID$Repondeur_HID
## t = -1.3809, df = 23, p-value = 0.1806
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -13.194584   2.630482
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    31.33333                    36.61538
t.test(HID$TLCO_1~ HID$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$TLCO_1 by HID$Repondeur_HID
## t = -0.11377, df = 23, p-value = 0.9104
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -8.362043  7.490248
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    36.33333                    36.76923
t.test(HID$P_pct._0~ HID$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$P_pct._0 by HID$Repondeur_HID
## t = 1.388, df = 14, p-value = 0.1868
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -13.43048  62.69714
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    107.3333                     82.7000
t.test(HID$Pi_pct._1~ HID$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$Pi_pct._1 by HID$Repondeur_HID
## t = -0.27124, df = 17, p-value = 0.7895
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -50.17733  38.74551
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    103.3750                    109.0909
t.test(HID$SNIP_KPA_0~ HID$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$SNIP_KPA_0 by HID$Repondeur_HID
## t = 1.5893, df = 11, p-value = 0.1403
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.427654  2.649876
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    6.000000                    4.888889
t.test(HID$SNIP_KPA_1~ HID$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$SNIP_KPA_1 by HID$Repondeur_HID
## t = -0.52035, df = 11, p-value = 0.6131
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -2.324345  1.435456
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    6.000000                    6.444444
t.test(HID$Ci_rest.recalc._0~ HID$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$Ci_rest.recalc._0 by HID$Repondeur_HID
## t = 0.99529, df = 35, p-value = 0.3264
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -201.6148  589.4384
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    2254.500                    2060.588
t.test(HID$Ci_rest.recalc._1~ HID$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$Ci_rest.recalc._1 by HID$Repondeur_HID
## t = -0.18225, df = 35, p-value = 0.8564
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -409.5140  342.0435
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    2134.500                    2168.235
t.test(HID$CI_diff.recalc_0~ HID$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$CI_diff.recalc_0 by HID$Repondeur_HID
## t = 0.81453, df = 35, p-value = 0.4209
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -160.2114  374.9173
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                   -685.0000                   -792.3529
t.test(HID$CI_diff.recalc_1~ HID$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$CI_diff.recalc_1 by HID$Repondeur_HID
## t = -0.48783, df = 35, p-value = 0.6287
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -292.5368  179.1839
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                   -595.5000                   -538.8235
t.test(HID$CI_isoP_0~ HID$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$CI_isoP_0 by HID$Repondeur_HID
## t = 3.1805, df = 35, p-value = 0.003075
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  160.3735 726.3912
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    1657.500                    1214.118
t.test(HID$CI_isoP_1~ HID$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$CI_isoP_1 by HID$Repondeur_HID
## t = -1.4723, df = 35, p-value = 0.1499
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -534.1878   85.0702
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    1552.500                    1777.059
t.test(HID$temps_sec_0~ HID$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$temps_sec_0 by HID$Repondeur_HID
## t = 0.95551, df = 35, p-value = 0.3459
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -61.01757 169.52933
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    538.5500                    484.2941
t.test(HID$temps_sec_1~ HID$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$temps_sec_1 by HID$Repondeur_HID
## t = -0.40401, df = 35, p-value = 0.6887
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -116.68856   77.95327
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    522.7500                    542.1176
t.test(HID$VO2_max_0~ HID$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$VO2_max_0 by HID$Repondeur_HID
## t = 1.6457, df = 27, p-value = 0.1114
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.03796179  0.34565410
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                   1.0000000                   0.8461538
t.test(HID$VO2_max_1~ HID$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$VO2_max_1 by HID$Repondeur_HID
## t = 0.50746, df = 27, p-value = 0.6159
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.1902062  0.3152062
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                      1.0625                      1.0000
t.test(HID$Wmax_0~ HID$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$Wmax_0 by HID$Repondeur_HID
## t = 1.8251, df = 35, p-value = 0.07653
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -1.377155 25.900685
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    51.85000                    39.58824
t.test(HID$Wmax_1~ HID$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$Wmax_1 by HID$Repondeur_HID
## t = -0.11522, df = 35, p-value = 0.9089
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -15.8269  14.1269
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                       48.15                       49.00
t.test(HID$VT_isotime_0~ HID$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$VT_isotime_0 by HID$Repondeur_HID
## t = 1.5768, df = 35, p-value = 0.1238
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -44.60025 354.91202
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                   1090.4500                    935.2941
t.test(HID$VT_isotime_1~ HID$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$VT_isotime_1 by HID$Repondeur_HID
## t = -1.9618, df = 35, p-value = 0.05778
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -456.882678    7.817973
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    1073.350                    1297.882
t.test(HID$vt_pic_0~ HID$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$vt_pic_0 by HID$Repondeur_HID
## t = 1.4911, df = 35, p-value = 0.1449
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -63.81575 416.85693
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    1185.050                    1008.529
t.test(HID$vt_pic_1~ HID$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$vt_pic_1 by HID$Repondeur_HID
## t = -0.74386, df = 35, p-value = 0.4619
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -316.5400  146.7753
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    1156.000                    1240.882
t.test(HID$VRI_isotime_0~ HID$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$VRI_isotime_0 by HID$Repondeur_HID
## t = 2.7436, df = 35, p-value = 0.009517
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##   74.95867 501.49427
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    567.0500                    278.8235
t.test(HID$VRI_isotime_1~ HID$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$VRI_isotime_1 by HID$Repondeur_HID
## t = -0.00022243, df = 35, p-value = 0.9998
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -241.6271  241.5742
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    479.1500                    479.1765
t.test(HID$VO2_FC_0~ HID$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$VO2_FC_0 by HID$Repondeur_HID
## t = 2.083, df = 27, p-value = 0.04685
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  0.01980536 2.62442541
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    7.937500                    6.615385
t.test(HID$VO2_FC_1~ HID$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$VO2_FC_1 by HID$Repondeur_HID
## t = 0.86605, df = 29, p-value = 0.3936
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.8180853  2.0197660
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    7.529412                    6.928571
t.test(HID$dist_parc_0~ HID$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$dist_parc_0 by HID$Repondeur_HID
## t = 0.33245, df = 30, p-value = 0.7419
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -58.97509  81.90842
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    406.0000                    394.5333
t.test(HID$dist_parc_1~ HID$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$dist_parc_1 by HID$Repondeur_HID
## t = -0.070191, df = 30, p-value = 0.9445
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -71.04981  66.32824
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    435.7059                    438.0667
t.test(HID$Nadir_sat_0~ HID$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$Nadir_sat_0 by HID$Repondeur_HID
## t = 0.97487, df = 30, p-value = 0.3374
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -2.052421  5.801441
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    85.94118                    84.06667
t.test(HID$Nadir_sat_1~ HID$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$Nadir_sat_1 by HID$Repondeur_HID
## t = -0.53217, df = 30, p-value = 0.5985
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -5.900044  3.460828
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    85.64706                    86.86667
t.test(HID$EELV_repos._0~ HID$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$EELV_repos._0 by HID$Repondeur_HID
## t = 0.89351, df = 35, p-value = 0.3777
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -392.6836 1010.0777
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    5811.050                    5502.353
t.test(HID$EELV_repos._1~ HID$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$EELV_repos._1 by HID$Repondeur_HID
## t = 0.81745, df = 35, p-value = 0.4192
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -584.4849 1372.4849
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                        5354                        4960
t.test(HID$EELV_pic._0~ HID$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$EELV_pic._0 by HID$Repondeur_HID
## t = 0.58607, df = 35, p-value = 0.5616
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -496.0958  898.7841
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    6496.050                    6294.706
t.test(HID$EELV_pic._1~ HID$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$EELV_pic._1 by HID$Repondeur_HID
## t = 0.94704, df = 35, p-value = 0.3501
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -515.4144 1416.7673
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    5949.500                    5498.824
t.test(HID$EELV_isoPUISSANCE._0~ HID$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$EELV_isoPUISSANCE._0 by HID$Repondeur_HID
## t = 0.17057, df = 35, p-value = 0.8655
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -645.6800  764.1329
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    6408.050                    6348.824
t.test(HID$EELV_isoPUISSANCE._1~ HID$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$EELV_isoPUISSANCE._1 by HID$Repondeur_HID
## t = 1.2038, df = 35, p-value = 0.2367
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -401.4083 1571.0553
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    5936.000                    5351.176
t.test(HID$SNIP_KPA_pct_0~ HID$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$SNIP_KPA_pct_0 by HID$Repondeur_HID
## t = 1.5268, df = 16, p-value = 0.1463
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -4.066204 25.001269
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    65.28571                    54.81818
t.test(HID$SNIP_KPA_1~ HID$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$SNIP_KPA_1 by HID$Repondeur_HID
## t = -0.52035, df = 11, p-value = 0.6131
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -2.324345  1.435456
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    6.000000                    6.444444

Comparaison des groupes Repondeurs/Non repondeurs selon VEMS

t.test(HID$volume_lobe.T._0~ HID$Repondeur_VEMS, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$volume_lobe.T._0 by HID$Repondeur_VEMS
## t = -1.1777, df = 29, p-value = 0.2485
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -685.8354  184.6001
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    1536.500                    1787.118
t.test(HID$volume.lobe.T._1~ HID$Repondeur_VEMS, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$volume.lobe.T._1 by HID$Repondeur_VEMS
## t = 2.6066, df = 29, p-value = 0.01429
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##   131.2877 1087.8971
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                   1149.3571                    539.7647
t.test(HID$MMRC_0~ HID$Repondeur_VEMS, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$MMRC_0 by HID$Repondeur_VEMS
## t = -0.13804, df = 33, p-value = 0.891
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.5177133  0.4519239
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    3.125000                    3.157895
t.test(HID$MMRC_1~ HID$Repondeur_VEMS, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$MMRC_1 by HID$Repondeur_VEMS
## t = 1.2113, df = 33, p-value = 0.2344
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.2638118  1.0401276
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    2.125000                    1.736842
t.test(HID$BODE_0~ HID$Repondeur_VEMS, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$BODE_0 by HID$Repondeur_VEMS
## t = 0.42411, df = 32, p-value = 0.6743
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.9340421  1.4252702
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    5.666667                    5.421053
t.test(HID$BODE_1~ HID$Repondeur_VEMS, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$BODE_1 by HID$Repondeur_VEMS
## t = 2.5782, df = 32, p-value = 0.01474
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  0.3167582 2.7007856
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    4.666667                    3.157895
t.test(HID$VEMS.ml_0~ HID$Repondeur_VEMS, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$VEMS.ml_0 by HID$Repondeur_VEMS
## t = 0.028551, df = 35, p-value = 0.9774
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -202.0638  207.8285
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    945.8824                    943.0000
t.test(HID$VEMS.ml_1~ HID$Repondeur_VEMS, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$VEMS.ml_1 by HID$Repondeur_VEMS
## t = -3.0996, df = 35, p-value = 0.003812
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -595.2017 -124.0924
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    912.3529                   1272.0000
t.test(HID$Tiffe_0_b~ HID$Repondeur_VEMS, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$Tiffe_0_b by HID$Repondeur_VEMS
## t = -0.077373, df = 35, p-value = 0.9388
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -6.168577  5.715636
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    37.82353                    38.05000
t.test(HID$Tiffe_1~ HID$Repondeur_VEMS, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$Tiffe_1 by HID$Repondeur_VEMS
## t = -2.5259, df = 35, p-value = 0.01622
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -12.705567  -1.382668
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    34.70588                    41.75000
t.test(HID$CV_ml_0~ HID$Repondeur_VEMS, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$CV_ml_0 by HID$Repondeur_VEMS
## t = 0.6568, df = 35, p-value = 0.5156
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -371.4431  726.7372
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    2807.647                    2630.000
t.test(HID$CV_ml_1~ HID$Repondeur_VEMS, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$CV_ml_1 by HID$Repondeur_VEMS
## t = -1.084, df = 35, p-value = 0.2858
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -784.6809  238.3868
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    2792.353                    3065.500
t.test(HID$VR_ml_0~ HID$Repondeur_VEMS, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$VR_ml_0 by HID$Repondeur_VEMS
## t = -0.32286, df = 35, p-value = 0.7487
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -769.7388  558.5035
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    4995.882                    5101.500
t.test(HID$VR_ml_1~ HID$Repondeur_VEMS, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$VR_ml_1 by HID$Repondeur_VEMS
## t = 1.8391, df = 35, p-value = 0.07439
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##   -70.44538 1427.09244
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    4818.824                    4140.500
t.test(HID$CPT_ml_0~ HID$Repondeur_VEMS, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$CPT_ml_0 by HID$Repondeur_VEMS
## t = 0.17329, df = 35, p-value = 0.8634
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -725.7679  861.2385
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    7871.235                    7803.500
t.test(HID$CPT_ml_1~ HID$Repondeur_VEMS, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$CPT_ml_1 by HID$Repondeur_VEMS
## t = 0.38172, df = 35, p-value = 0.705
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -817.4233 1196.0115
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    7425.294                    7236.000
t.test(HID$TLCO_0~ HID$Repondeur_VEMS, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$TLCO_0 by HID$Repondeur_VEMS
## t = -1.061, df = 23, p-value = 0.2997
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -12.659597   4.076264
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    31.33333                    35.62500
t.test(HID$TLCO_1~ HID$Repondeur_VEMS, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$TLCO_1 by HID$Repondeur_VEMS
## t = -1.0721, df = 23, p-value = 0.2948
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -12.226960   3.879738
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    33.88889                    38.06250
t.test(HID$P_pct._0~ HID$Repondeur_VEMS, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$P_pct._0 by HID$Repondeur_VEMS
## t = 0.13216, df = 14, p-value = 0.8967
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -38.07317  43.07317
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                        93.5                        91.0
t.test(HID$Pi_pct._1~ HID$Repondeur_VEMS, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$Pi_pct._1 by HID$Repondeur_VEMS
## t = -1.7346, df = 17, p-value = 0.1009
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -74.001039   7.223262
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    89.11111                   122.50000
t.test(HID$SNIP_KPA_0~ HID$Repondeur_VEMS, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$SNIP_KPA_0 by HID$Repondeur_VEMS
## t = 0.15718, df = 11, p-value = 0.878
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -1.733740  2.000407
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    5.333333                    5.200000
t.test(HID$SNIP_KPA_1~ HID$Repondeur_VEMS, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$SNIP_KPA_1 by HID$Repondeur_VEMS
## t = -0.91259, df = 11, p-value = 0.381
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -2.843157  1.176491
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    5.666667                    6.500000
t.test(HID$Ci_rest.recalc._0~ HID$Repondeur_VEMS, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$Ci_rest.recalc._0 by HID$Repondeur_VEMS
## t = -0.61576, df = 35, p-value = 0.542
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -519.9298  277.9298
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                        2100                        2221
t.test(HID$Ci_rest.recalc._1~ HID$Repondeur_VEMS, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$Ci_rest.recalc._1 by HID$Repondeur_VEMS
## t = -1.9283, df = 35, p-value = 0.06196
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -696.97752   17.91869
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    1966.471                    2306.000
t.test(HID$CI_diff.recalc_0~ HID$Repondeur_VEMS, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$CI_diff.recalc_0 by HID$Repondeur_VEMS
## t = 0.53675, df = 35, p-value = 0.5948
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -197.8660  340.1013
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                   -695.8824                   -767.0000
t.test(HID$CI_diff.recalc_1~ HID$Repondeur_VEMS, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$CI_diff.recalc_1 by HID$Repondeur_VEMS
## t = 1.1121, df = 35, p-value = 0.2737
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -105.1754  359.9989
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                   -500.5882                   -628.0000
t.test(HID$CI_isoP_0~ HID$Repondeur_VEMS, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$CI_isoP_0 by HID$Repondeur_VEMS
## t = 0.57034, df = 35, p-value = 0.5721
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -229.9783  409.6842
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    1502.353                    1412.500
t.test(HID$CI_isoP_1~ HID$Repondeur_VEMS, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$CI_isoP_1 by HID$Repondeur_VEMS
## t = -2.207, df = 35, p-value = 0.03396
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -623.9488  -26.0512
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                        1480                        1805
t.test(HID$temps_sec_0~ HID$Repondeur_VEMS, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$temps_sec_0 by HID$Repondeur_VEMS
## t = 0.015954, df = 35, p-value = 0.9874
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -115.8492  117.6845
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    514.1176                    513.2000
t.test(HID$temps_sec_1~ HID$Repondeur_VEMS, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$temps_sec_1 by HID$Repondeur_VEMS
## t = -1.1155, df = 35, p-value = 0.2722
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -148.53189   43.18484
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    503.1765                    555.8500
t.test(HID$VO2_max_0~ HID$Repondeur_VEMS, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$VO2_max_0 by HID$Repondeur_VEMS
## t = -0.24782, df = 27, p-value = 0.8062
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.2274406  0.1784210
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                   0.9166667                   0.9411765
t.test(HID$VO2_max_1~ HID$Repondeur_VEMS, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$VO2_max_1 by HID$Repondeur_VEMS
## t = -0.4727, df = 27, p-value = 0.6402
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.3141548  0.1965078
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    1.000000                    1.058824
t.test(HID$Wmax_0~ HID$Repondeur_VEMS, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$Wmax_0 by HID$Repondeur_VEMS
## t = 0.19086, df = 35, p-value = 0.8497
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -12.92460  15.60696
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    46.94118                    45.60000
t.test(HID$Wmax_1~ HID$Repondeur_VEMS, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$Wmax_1 by HID$Repondeur_VEMS
## t = -1.3174, df = 35, p-value = 0.1963
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -24.109856   5.133386
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    43.41176                    52.90000
t.test(HID$VT_isotime_0~ HID$Repondeur_VEMS, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$VT_isotime_0 by HID$Repondeur_VEMS
## t = -0.36699, df = 35, p-value = 0.7158
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -243.6332  169.0332
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                       999.0                      1036.3
t.test(HID$VT_isotime_1~ HID$Repondeur_VEMS, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$VT_isotime_1 by HID$Repondeur_VEMS
## t = -2.9406, df = 35, p-value = 0.005773
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -536.72447  -98.31082
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    1004.882                    1322.400
t.test(HID$vt_pic_0~ HID$Repondeur_VEMS, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$vt_pic_0 by HID$Repondeur_VEMS
## t = -0.16236, df = 35, p-value = 0.872
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -267.5735  227.9441
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    1093.235                    1113.050
t.test(HID$vt_pic_1~ HID$Repondeur_VEMS, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$vt_pic_1 by HID$Repondeur_VEMS
## t = -1.7947, df = 35, p-value = 0.08135
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -420.94232   25.91291
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    1088.235                    1285.750
t.test(HID$VRI_isotime_0~ HID$Repondeur_VEMS, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$VRI_isotime_0 by HID$Repondeur_VEMS
## t = 1.1175, df = 35, p-value = 0.2714
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -103.8483  358.1542
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    503.3529                    376.2000
t.test(HID$VRI_isotime_1~ HID$Repondeur_VEMS, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$VRI_isotime_1 by HID$Repondeur_VEMS
## t = -0.062876, df = 35, p-value = 0.9502
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -249.0694  234.1046
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    475.1176                    482.6000
t.test(HID$VO2_FC_0~ HID$Repondeur_VEMS, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$VO2_FC_0 by HID$Repondeur_VEMS
## t = -0.23452, df = 27, p-value = 0.8164
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -1.57707  1.25354
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    7.250000                    7.411765
t.test(HID$VO2_FC_1~ HID$Repondeur_VEMS, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$VO2_FC_1 by HID$Repondeur_VEMS
## t = -0.63145, df = 29, p-value = 0.5327
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -1.883971  0.995082
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    7.000000                    7.444444
t.test(HID$dist_parc_0~ HID$Repondeur_VEMS, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$dist_parc_0 by HID$Repondeur_VEMS
## t = -1.2453, df = 30, p-value = 0.2227
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -110.77598   26.85441
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    378.3333                    420.2941
t.test(HID$dist_parc_1~ HID$Repondeur_VEMS, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$dist_parc_1 by HID$Repondeur_VEMS
## t = -1.6957, df = 30, p-value = 0.1003
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -120.10802   11.13547
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    407.8667                    462.3529
t.test(HID$Nadir_sat_0~ HID$Repondeur_VEMS, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$Nadir_sat_0 by HID$Repondeur_VEMS
## t = -0.25072, df = 30, p-value = 0.8037
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -4.500185  3.516058
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    84.78571                    85.27778
t.test(HID$Nadir_sat_1~ HID$Repondeur_VEMS, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$Nadir_sat_1 by HID$Repondeur_VEMS
## t = 0.27102, df = 30, p-value = 0.7882
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -4.097620  5.351588
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    86.57143                    85.94444
t.test(HID$EELV_repos._0~ HID$Repondeur_VEMS, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$EELV_repos._0 by HID$Repondeur_VEMS
## t = 0.54242, df = 35, p-value = 0.591
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -517.6367  895.1073
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    5771.235                    5582.500
t.test(HID$EELV_repos._1~ HID$Repondeur_VEMS, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$EELV_repos._1 by HID$Repondeur_VEMS
## t = 1.1057, df = 35, p-value = 0.2764
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -442.1462 1499.7932
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    5458.824                    4930.000
t.test(HID$EELV_pic._0~ HID$Repondeur_VEMS, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$EELV_pic._0 by HID$Repondeur_VEMS
## t = 0.34126, df = 35, p-value = 0.7349
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -582.0731  817.3084
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    6467.118                    6349.500
t.test(HID$EELV_pic._1~ HID$Repondeur_VEMS, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$EELV_pic._1 by HID$Repondeur_VEMS
## t = 0.84129, df = 35, p-value = 0.4059
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -567.234 1370.058
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    5959.412                    5558.000
t.test(HID$EELV_isoPUISSANCE._0~ HID$Repondeur_VEMS, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$EELV_isoPUISSANCE._0 by HID$Repondeur_VEMS
## t = -0.063675, df = 35, p-value = 0.9496
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -727.2762  683.0409
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    6368.882                    6391.000
t.test(HID$EELV_isoPUISSANCE._1~ HID$Repondeur_VEMS, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$EELV_isoPUISSANCE._1 by HID$Repondeur_VEMS
## t = 1.0537, df = 35, p-value = 0.2992
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -476.5547 1505.1429
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    5945.294                    5431.000
t.test(HID$SNIP_KPA_pct_0~ HID$Repondeur_VEMS, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$SNIP_KPA_pct_0 by HID$Repondeur_VEMS
## t = 0.87135, df = 16, p-value = 0.3965
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -9.743726 23.343726
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                        63.8                        57.0
t.test(HID$SNIP_KPA_1~ HID$Repondeur_VEMS, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  HID$SNIP_KPA_1 by HID$Repondeur_VEMS
## t = -0.91259, df = 11, p-value = 0.381
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -2.843157  1.176491
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    5.666667                    6.500000