Correlations for all pairs of data series (method=kendall)
	walking.days	cycling.days	sports.days	fruits	vegetables
walking.days	1	0.107	0.228	0.036	0.044
cycling.days	0.107	1	0.1	0.024	0.047
sports.days	0.228	0.1	1	0.084	0.063
fruits	0.036	0.024	0.084	1	0.379
vegetables	0.044	0.047	0.063	0.379	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
walking.days;cycling.days	0.0888	0.1348	0.1067
p-value	(0.1249)	(0.0195)	(0.0179)
walking.days;sports.days	0.3272	0.2963	0.2282
p-value	(0)	(0)	(0)
walking.days;fruits	0.0864	0.0467	0.0365
p-value	(0.1352)	(0.4198)	(0.4235)
walking.days;vegetables	0.071	0.0541	0.0441
p-value	(0.2204)	(0.3502)	(0.3442)
cycling.days;sports.days	0.1013	0.1273	0.1
p-value	(0.0797)	(0.0275)	(0.0272)
cycling.days;fruits	0.0603	0.029	0.0242
p-value	(0.2979)	(0.6172)	(0.621)
cycling.days;vegetables	0.0028	0.0544	0.0474
p-value	(0.9619)	(0.3478)	(0.3419)
sports.days;fruits	0.1444	0.1064	0.0841
p-value	(0.0123)	(0.0657)	(0.0664)
sports.days;vegetables	0.116	0.0767	0.0625
p-value	(0.0448)	(0.185)	(0.1814)
fruits;vegetables	0.4129	0.4238	0.3788
p-value	(0)	(0)	(0)

Meta Analysis of Correlation Tests
Number of significant by total number of Correlations
Type I error	Pearson r	Spearman rho	Kendall tau
0.01	0.2	0.2	0.2
0.02	0.3	0.3	0.3
0.03	0.3	0.4	0.4
0.04	0.3	0.4	0.4
0.05	0.4	0.4	0.4
0.06	0.4	0.4	0.4
0.07	0.4	0.5	0.5
0.08	0.5	0.5	0.5
0.09	0.5	0.5	0.5
0.1	0.5	0.5	0.5