Last updated on 2020-02-19 10:49:12 CET.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 1.2 | 4.99 | 27.20 | 32.19 | ERROR | |
| r-devel-linux-x86_64-debian-gcc | 1.2 | 3.36 | 21.15 | 24.51 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 1.2 | 38.31 | ERROR | |||
| r-devel-linux-x86_64-fedora-gcc | 1.2 | 36.74 | ERROR | |||
| r-devel-windows-ix86+x86_64 | 1.2 | 8.00 | 35.00 | 43.00 | NOTE | |
| r-devel-windows-ix86+x86_64-gcc8 | 1.2 | 11.00 | 37.00 | 48.00 | NOTE | |
| r-patched-linux-x86_64 | 1.2 | 2.98 | 24.35 | 27.33 | NOTE | |
| r-patched-solaris-x86 | 1.2 | 51.60 | NOTE | |||
| r-release-linux-x86_64 | 1.2 | 2.97 | 25.24 | 28.21 | NOTE | |
| r-release-windows-ix86+x86_64 | 1.2 | 7.00 | 53.00 | 60.00 | NOTE | |
| r-release-osx-x86_64 | 1.2 | NOTE | ||||
| r-oldrel-windows-ix86+x86_64 | 1.2 | 5.00 | 35.00 | 40.00 | NOTE | |
| r-oldrel-osx-x86_64 | 1.2 | NOTE |
Version: 1.2
Check: R code for possible problems
Result: NOTE
d1spectrum: no visible global function definition for 'fft'
d2spectrum: no visible global function definition for 'fft'
plot.d1nat: no visible global function definition for 'plot'
plot.d1nat: no visible global function definition for 'lines'
plot.d1nat: no visible global function definition for 'legend'
plot.d1nat: no visible global function definition for 'title'
plot.d1spec: no visible global function definition for 'plot'
plot.d1spec: no visible global function definition for 'lines'
plot.d1spec: no visible global function definition for 'legend'
plot.d1spec: no visible global function definition for 'title'
plot.d2spec: no visible global function definition for 'plot'
plot.d2spec: no visible global function definition for 'lines'
plot.d2spec: no visible global function definition for 'legend'
plot.d2spec: no visible global function definition for 'title'
plot.pvalign: no visible global function definition for 'plot'
plot.pvalign: no visible global function definition for 'lines'
plot.pvalign: no visible global function definition for 'legend'
plot.pvalign: no visible global function definition for 'title'
print.d1nat: no visible global function definition for 'plot'
print.d1spec: no visible global function definition for 'plot'
print.d2spec: no visible global function definition for 'plot'
print.pvalign: no visible global function definition for 'plot'
utild1bin: no visible global function definition for 'median'
utild1bin: no visible global function definition for 'sd'
utild1clean: no visible global function definition for 'sd'
utild1filt: no visible global function definition for 'convolve'
Undefined global functions or variables:
convolve fft legend lines median plot sd title
Consider adding
importFrom("graphics", "legend", "lines", "plot", "title")
importFrom("stats", "convolve", "fft", "median", "sd")
to your NAMESPACE file.
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-ix86+x86_64, r-devel-windows-ix86+x86_64-gcc8, r-patched-linux-x86_64, r-patched-solaris-x86, r-release-linux-x86_64, r-release-windows-ix86+x86_64, r-release-osx-x86_64, r-oldrel-windows-ix86+x86_64, r-oldrel-osx-x86_64
Version: 1.2
Check: examples
Result: ERROR
Running examples in 'stheoreme-Ex.R' failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: cxds.stheorem
> ### Title: Renormalized Entropy Shift Estimation
> ### Aliases: cxds.stheorem
>
> ### ** Examples
>
> #quazi-gaussian probability vectors with equal means & different variances
> f0 <- c(0.0,0.1,0.4,0.4,0.1,0.0)
> f1 <- c(0.1,0.15,0.25,0.25,0.15,0.1)
> cxds.stheorem(distribution0=f0, distribution1=f1)
S-theorem open system evolution model
Overall entropy shift {H1-H0 = dS + dI}:
0.529250590526317 {0to1} = 0.0909350028886473 {0to1} + 0.438315587637669 {0to1}
>
> #quazi-gaussian bin counts with shift between means
> h0 <- c(2,2,17,6,1,1,1,0)
> h1 <- c(2,3,5,7,7,4,1,0)
> crit.stheorem(h0, h1)
S-theorem convergence criterion
System evolution from state0 to state1 is thermodynamically possible through an indirect
medium state2 (R^2 = 0.8836).
> cxds.stheorem(h0, h1)
S-theorem open system evolution model
Overall entropy shift {H1-H0 = dS + dI}:
0.452797516823042 {0to1} = -0.125108179247243 {0to1} + 0.577905696070284 {0to1}
where dS consists of two:
-0.125108179247243 {0to1} = -0.124496242898291 {0to2} + -0.000611936348951181 {2to1}
>
> #example of 2-step analysis with Klimontovich's S-theorem for 2
> # arrays of outcomes {s0,s1}:
> s0<-rep(c(1:11,2),256)
> s1<-rep(c(2,3,3,4,5,5,5),55)
> # step a. Create probability vectors
> b<-d1nat(s0,s1,brks=12); b
Call:
d1nat.default(sample0 = s0, sample1 = s1, brks = 12)
Two probability mass functions ($f0,$f1) have been generated at the common scale of values ($midpoints)
Statistics summary:
expctd var fsum xmin xmax n mod1 mod2 mod3 H_val
f0 5.652778 9.3123071 1 1 11 12 2.25 1.416667 3.083333 2.369382
f1 3.797619 0.8786848 1 1 11 12 4.75 3.083333 2.250000 1.277034
H_max
f0 2.484907
f1 2.484907
> # step b. Compare samples with Klimontovich's S-theorem
> crit.stheorem(b$f0,b$f1)
S-theorem convergence criterion
System evolution from state0 to state1 is thermodynamically possible through an indirect
medium state2 (R^2 = 0.9604).
> cxds.stheorem(b$f0,b$f1)
S-theorem open system evolution model
Overall entropy shift {H1-H0 = dS + dI}:
-1.0923478602283 {0to1} = 0.0638527099574505 {0to1} + -1.15620057018575 {0to1}
where dS consists of two:
0.0638527099574505 {0to1} = 1e-15 {0to2} + 0.0638527099574495 {2to1}
>
> #example of 3-step analysis with Klimontovich's S-theorem to study two gratings
> # random vs regular
> s0<-array(c(rep(0,640),rep(1,640)), c(320,320))
> s1<-array(runif(5120,0,1), c(64,80))
> # step a. Binarize (to make s1 comparable with s0 by its nature as a grating)
> a<-utild2bin(s0, s1, method='med')
----------- FAILURE REPORT --------------
--- failure: the condition has length > 1 ---
--- srcref ---
:
--- package (from environment) ---
stheoreme
--- call from context ---
utild2bin(s0, s1, method = "med")
--- call from argument ---
if (class(d2arr0) != "matrix" | class(d2arr1) != "matrix") {
stop("One of the arrays has < 2 dimensions")
}
--- R stacktrace ---
where 1: utild2bin(s0, s1, method = "med")
--- value of length: 2 type: logical ---
[1] FALSE TRUE
--- function from context ---
function (d2arr0, d2arr1, method = "mean", trsh = 0, inverted = FALSE)
{
if (class(d2arr0) != "matrix" | class(d2arr1) != "matrix") {
stop("One of the arrays has < 2 dimensions")
}
return(utild1bin(d2arr0, d2arr1, method = method, trsh = trsh,
inverted = inverted, d2 = TRUE))
}
<bytecode: 0x1a531d0>
<environment: namespace:stheoreme>
--- function search by body ---
Function utild2bin in namespace stheoreme has this body.
----------- END OF FAILURE REPORT --------------
Error in if (class(d2arr0) != "matrix" | class(d2arr1) != "matrix") { :
the condition has length > 1
Calls: utild2bin
Execution halted
Flavor: r-devel-linux-x86_64-debian-clang
Version: 1.2
Check: examples
Result: ERROR
Running examples in ‘stheoreme-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: cxds.stheorem
> ### Title: Renormalized Entropy Shift Estimation
> ### Aliases: cxds.stheorem
>
> ### ** Examples
>
> #quazi-gaussian probability vectors with equal means & different variances
> f0 <- c(0.0,0.1,0.4,0.4,0.1,0.0)
> f1 <- c(0.1,0.15,0.25,0.25,0.15,0.1)
> cxds.stheorem(distribution0=f0, distribution1=f1)
S-theorem open system evolution model
Overall entropy shift {H1-H0 = dS + dI}:
0.529250590526317 {0to1} = 0.0909350028886473 {0to1} + 0.438315587637669 {0to1}
>
> #quazi-gaussian bin counts with shift between means
> h0 <- c(2,2,17,6,1,1,1,0)
> h1 <- c(2,3,5,7,7,4,1,0)
> crit.stheorem(h0, h1)
S-theorem convergence criterion
System evolution from state0 to state1 is thermodynamically possible through an indirect
medium state2 (R^2 = 0.8836).
> cxds.stheorem(h0, h1)
S-theorem open system evolution model
Overall entropy shift {H1-H0 = dS + dI}:
0.452797516823042 {0to1} = -0.125108179247243 {0to1} + 0.577905696070284 {0to1}
where dS consists of two:
-0.125108179247243 {0to1} = -0.124496242898291 {0to2} + -0.000611936348951181 {2to1}
>
> #example of 2-step analysis with Klimontovich's S-theorem for 2
> # arrays of outcomes {s0,s1}:
> s0<-rep(c(1:11,2),256)
> s1<-rep(c(2,3,3,4,5,5,5),55)
> # step a. Create probability vectors
> b<-d1nat(s0,s1,brks=12); b
Call:
d1nat.default(sample0 = s0, sample1 = s1, brks = 12)
Two probability mass functions ($f0,$f1) have been generated at the common scale of values ($midpoints)
Statistics summary:
expctd var fsum xmin xmax n mod1 mod2 mod3 H_val
f0 5.652778 9.3123071 1 1 11 12 2.25 1.416667 3.083333 2.369382
f1 3.797619 0.8786848 1 1 11 12 4.75 3.083333 2.250000 1.277034
H_max
f0 2.484907
f1 2.484907
> # step b. Compare samples with Klimontovich's S-theorem
> crit.stheorem(b$f0,b$f1)
S-theorem convergence criterion
System evolution from state0 to state1 is thermodynamically possible through an indirect
medium state2 (R^2 = 0.9604).
> cxds.stheorem(b$f0,b$f1)
S-theorem open system evolution model
Overall entropy shift {H1-H0 = dS + dI}:
-1.0923478602283 {0to1} = 0.0638527099574505 {0to1} + -1.15620057018575 {0to1}
where dS consists of two:
0.0638527099574505 {0to1} = 1e-15 {0to2} + 0.0638527099574495 {2to1}
>
> #example of 3-step analysis with Klimontovich's S-theorem to study two gratings
> # random vs regular
> s0<-array(c(rep(0,640),rep(1,640)), c(320,320))
> s1<-array(runif(5120,0,1), c(64,80))
> # step a. Binarize (to make s1 comparable with s0 by its nature as a grating)
> a<-utild2bin(s0, s1, method='med')
----------- FAILURE REPORT --------------
--- failure: the condition has length > 1 ---
--- srcref ---
:
--- package (from environment) ---
stheoreme
--- call from context ---
utild2bin(s0, s1, method = "med")
--- call from argument ---
if (class(d2arr0) != "matrix" | class(d2arr1) != "matrix") {
stop("One of the arrays has < 2 dimensions")
}
--- R stacktrace ---
where 1: utild2bin(s0, s1, method = "med")
--- value of length: 2 type: logical ---
[1] FALSE TRUE
--- function from context ---
function (d2arr0, d2arr1, method = "mean", trsh = 0, inverted = FALSE)
{
if (class(d2arr0) != "matrix" | class(d2arr1) != "matrix") {
stop("One of the arrays has < 2 dimensions")
}
return(utild1bin(d2arr0, d2arr1, method = method, trsh = trsh,
inverted = inverted, d2 = TRUE))
}
<bytecode: 0x55c0d5a908f0>
<environment: namespace:stheoreme>
--- function search by body ---
Function utild2bin in namespace stheoreme has this body.
----------- END OF FAILURE REPORT --------------
Error in if (class(d2arr0) != "matrix" | class(d2arr1) != "matrix") { :
the condition has length > 1
Calls: utild2bin
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 1.2
Check: examples
Result: ERROR
Running examples in ‘stheoreme-Ex.R’ failed
The error most likely occurred in:
> ### Name: cxds.stheorem
> ### Title: Renormalized Entropy Shift Estimation
> ### Aliases: cxds.stheorem
>
> ### ** Examples
>
> #quazi-gaussian probability vectors with equal means & different variances
> f0 <- c(0.0,0.1,0.4,0.4,0.1,0.0)
> f1 <- c(0.1,0.15,0.25,0.25,0.15,0.1)
> cxds.stheorem(distribution0=f0, distribution1=f1)
S-theorem open system evolution model
Overall entropy shift {H1-H0 = dS + dI}:
0.529250590526317 {0to1} = 0.0909350028886473 {0to1} + 0.438315587637669 {0to1}
>
> #quazi-gaussian bin counts with shift between means
> h0 <- c(2,2,17,6,1,1,1,0)
> h1 <- c(2,3,5,7,7,4,1,0)
> crit.stheorem(h0, h1)
S-theorem convergence criterion
System evolution from state0 to state1 is thermodynamically possible through an indirect
medium state2 (R^2 = 0.8836).
> cxds.stheorem(h0, h1)
S-theorem open system evolution model
Overall entropy shift {H1-H0 = dS + dI}:
0.452797516823042 {0to1} = -0.125108179247243 {0to1} + 0.577905696070284 {0to1}
where dS consists of two:
-0.125108179247243 {0to1} = -0.124496242898291 {0to2} + -0.000611936348951181 {2to1}
>
> #example of 2-step analysis with Klimontovich's S-theorem for 2
> # arrays of outcomes {s0,s1}:
> s0<-rep(c(1:11,2),256)
> s1<-rep(c(2,3,3,4,5,5,5),55)
> # step a. Create probability vectors
> b<-d1nat(s0,s1,brks=12); b
Call:
d1nat.default(sample0 = s0, sample1 = s1, brks = 12)
Two probability mass functions ($f0,$f1) have been generated at the common scale of values ($midpoints)
Statistics summary:
expctd var fsum xmin xmax n mod1 mod2 mod3 H_val
f0 5.652778 9.3123071 1 1 11 12 2.25 1.416667 3.083333 2.369382
f1 3.797619 0.8786848 1 1 11 12 4.75 3.083333 2.250000 1.277034
H_max
f0 2.484907
f1 2.484907
> # step b. Compare samples with Klimontovich's S-theorem
> crit.stheorem(b$f0,b$f1)
S-theorem convergence criterion
System evolution from state0 to state1 is thermodynamically possible through an indirect
medium state2 (R^2 = 0.9604).
> cxds.stheorem(b$f0,b$f1)
S-theorem open system evolution model
Overall entropy shift {H1-H0 = dS + dI}:
-1.0923478602283 {0to1} = 0.0638527099574505 {0to1} + -1.15620057018575 {0to1}
where dS consists of two:
0.0638527099574505 {0to1} = 1e-15 {0to2} + 0.0638527099574495 {2to1}
>
> #example of 3-step analysis with Klimontovich's S-theorem to study two gratings
> # random vs regular
> s0<-array(c(rep(0,640),rep(1,640)), c(320,320))
> s1<-array(runif(5120,0,1), c(64,80))
> # step a. Binarize (to make s1 comparable with s0 by its nature as a grating)
> a<-utild2bin(s0, s1, method='med')
----------- FAILURE REPORT --------------
--- failure: the condition has length > 1 ---
--- srcref ---
:
--- package (from environment) ---
stheoreme
--- call from context ---
utild2bin(s0, s1, method = "med")
--- call from argument ---
if (class(d2arr0) != "matrix" | class(d2arr1) != "matrix") {
stop("One of the arrays has < 2 dimensions")
}
--- R stacktrace ---
where 1: utild2bin(s0, s1, method = "med")
--- value of length: 2 type: logical ---
[1] FALSE TRUE
--- function from context ---
function (d2arr0, d2arr1, method = "mean", trsh = 0, inverted = FALSE)
{
if (class(d2arr0) != "matrix" | class(d2arr1) != "matrix") {
stop("One of the arrays has < 2 dimensions")
}
return(utild1bin(d2arr0, d2arr1, method = method, trsh = trsh,
inverted = inverted, d2 = TRUE))
}
<bytecode: 0x20f8fa0>
<environment: namespace:stheoreme>
--- function search by body ---
Function utild2bin in namespace stheoreme has this body.
----------- END OF FAILURE REPORT --------------
Error in if (class(d2arr0) != "matrix" | class(d2arr1) != "matrix") { :
the condition has length > 1
Calls: utild2bin
Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang
Version: 1.2
Check: examples
Result: ERROR
Running examples in ‘stheoreme-Ex.R’ failed
The error most likely occurred in:
> ### Name: cxds.stheorem
> ### Title: Renormalized Entropy Shift Estimation
> ### Aliases: cxds.stheorem
>
> ### ** Examples
>
> #quazi-gaussian probability vectors with equal means & different variances
> f0 <- c(0.0,0.1,0.4,0.4,0.1,0.0)
> f1 <- c(0.1,0.15,0.25,0.25,0.15,0.1)
> cxds.stheorem(distribution0=f0, distribution1=f1)
S-theorem open system evolution model
Overall entropy shift {H1-H0 = dS + dI}:
0.529250590526317 {0to1} = 0.0909350028886473 {0to1} + 0.438315587637669 {0to1}
>
> #quazi-gaussian bin counts with shift between means
> h0 <- c(2,2,17,6,1,1,1,0)
> h1 <- c(2,3,5,7,7,4,1,0)
> crit.stheorem(h0, h1)
S-theorem convergence criterion
System evolution from state0 to state1 is thermodynamically possible through an indirect
medium state2 (R^2 = 0.8836).
> cxds.stheorem(h0, h1)
S-theorem open system evolution model
Overall entropy shift {H1-H0 = dS + dI}:
0.452797516823042 {0to1} = -0.125108179247243 {0to1} + 0.577905696070284 {0to1}
where dS consists of two:
-0.125108179247243 {0to1} = -0.124496242898291 {0to2} + -0.000611936348951181 {2to1}
>
> #example of 2-step analysis with Klimontovich's S-theorem for 2
> # arrays of outcomes {s0,s1}:
> s0<-rep(c(1:11,2),256)
> s1<-rep(c(2,3,3,4,5,5,5),55)
> # step a. Create probability vectors
> b<-d1nat(s0,s1,brks=12); b
Call:
d1nat.default(sample0 = s0, sample1 = s1, brks = 12)
Two probability mass functions ($f0,$f1) have been generated at the common scale of values ($midpoints)
Statistics summary:
expctd var fsum xmin xmax n mod1 mod2 mod3 H_val
f0 5.652778 9.3123071 1 1 11 12 2.25 1.416667 3.083333 2.369382
f1 3.797619 0.8786848 1 1 11 12 4.75 3.083333 2.250000 1.277034
H_max
f0 2.484907
f1 2.484907
> # step b. Compare samples with Klimontovich's S-theorem
> crit.stheorem(b$f0,b$f1)
S-theorem convergence criterion
System evolution from state0 to state1 is thermodynamically possible through an indirect
medium state2 (R^2 = 0.9604).
> cxds.stheorem(b$f0,b$f1)
S-theorem open system evolution model
Overall entropy shift {H1-H0 = dS + dI}:
-1.0923478602283 {0to1} = 0.0638527099574505 {0to1} + -1.15620057018575 {0to1}
where dS consists of two:
0.0638527099574505 {0to1} = 1e-15 {0to2} + 0.0638527099574495 {2to1}
>
> #example of 3-step analysis with Klimontovich's S-theorem to study two gratings
> # random vs regular
> s0<-array(c(rep(0,640),rep(1,640)), c(320,320))
> s1<-array(runif(5120,0,1), c(64,80))
> # step a. Binarize (to make s1 comparable with s0 by its nature as a grating)
> a<-utild2bin(s0, s1, method='med')
----------- FAILURE REPORT --------------
--- failure: the condition has length > 1 ---
--- srcref ---
:
--- package (from environment) ---
stheoreme
--- call from context ---
utild2bin(s0, s1, method = "med")
--- call from argument ---
if (class(d2arr0) != "matrix" | class(d2arr1) != "matrix") {
stop("One of the arrays has < 2 dimensions")
}
--- R stacktrace ---
where 1: utild2bin(s0, s1, method = "med")
--- value of length: 2 type: logical ---
[1] FALSE TRUE
--- function from context ---
function (d2arr0, d2arr1, method = "mean", trsh = 0, inverted = FALSE)
{
if (class(d2arr0) != "matrix" | class(d2arr1) != "matrix") {
stop("One of the arrays has < 2 dimensions")
}
return(utild1bin(d2arr0, d2arr1, method = method, trsh = trsh,
inverted = inverted, d2 = TRUE))
}
<bytecode: 0x28dbe30>
<environment: namespace:stheoreme>
--- function search by body ---
Function utild2bin in namespace stheoreme has this body.
----------- END OF FAILURE REPORT --------------
Error in if (class(d2arr0) != "matrix" | class(d2arr1) != "matrix") { :
the condition has length > 1
Calls: utild2bin
Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc