Since the creators update for Windows we have started getting an insane number of crashes, all coming deep from withing the Ad SDK and some from edgehtml.dll.
We are using C# (UWP platform) + Monogame.
We plugged in handlers for unhandled exceptions and for dispatcher but we didn't have much luck cathing them.
Below I have pasted 2 stack traces from the 2 most common errors:
0 XXXXXXOurGameApp out_of_memory 0x0000000000000000
1 unknown.dll [.ecxr] 0x0000000000000000
2 KERNELBASE.dll RaiseFailFastException 0x0000000000000000
3 edgehtml.dll Abandonment::InduceAbandonment 0x0000000000000000
4 edgehtml.dll Abandonment::OutOfMemory 0x0000000000000000
5 edgehtml.dll Abandonment::InduceHRESULTAbandonment 0x0000000000000000
6 edgehtml.dll CWebPlatformTridentHost::EnsureWebPlatformProxyRoot 0x0000000000000000
7 edgehtml.dll CWUCLayerManager::GetWebPlatformProxyRoot 0x0000000000000000
8 edgehtml.dll CWUCLayerManager::Initialize 0x0000000000000000
9 edgehtml.dll RefCounted_CWUCLayerManager,MultiThreadedRefCount_::Create_CWUCLayerManager,CDXSystem * __ptr64,LayerManagerTarget * __ptr64 & __ptr64,bool & __ptr64,bool & __ptr64,bool & __ptr64,unsigned long & __ptr64_ 0x0000000000000000
10 edgehtml.dll CDXSystem::CreateLayerManager 0x0000000000000000
11 edgehtml.dll CDoc::EnsureLayerManager 0x0000000000000000
12 edgehtml.dll CView::Activate 0x0000000000000000
13 edgehtml.dll CDoc::RunningToInPlace 0x0000000000000000
14 edgehtml.dll CServer::TransitionTo 0x0000000000000000
15 edgehtml.dll CServer::UIActivate 0x0000000000000000
16 edgehtml.dll CWebPlatformTridentHost::ActivateMe 0x0000000000000000
17 edgehtml.dll CServer::ActivateView 0x0000000000000000
18 edgehtml.dll CServer::DoUIActivate 0x0000000000000000
19 edgehtml.dll CServer::DoVerb 0x0000000000000000
20 edgehtml.dll CWebPlatformTridentHost::_Activate 0x0000000000000000
21 edgehtml.dll CWebPlatformTridentHost::_OnSetClientSite 0x0000000000000000
22 edgehtml.dll CWebPlatformTridentHost::SetClientSite 0x0000000000000000
23 edgehtml.dll CWebPlatform::_OnInPlaceActivate 0x0000000000000000
24 edgehtml.dll CWebPlatform::_OnActivateChange 0x0000000000000000
25 edgehtml.dll CCoreWebViewTaskHandler::_OleActivateWebPlatform 0x0000000000000000
26 edgehtml.dll CCoreWebViewTaskHandler::Initialize 0x0000000000000000
27 edgehtml.dll CCoreWebView::Initialize 0x0000000000000000
28 EdgeManager.dll WebViewManager::CreateCoreWebViewPrivate 0x0000000000000000
29 EdgeManager.dll CCoreWebViewControl::Initialize 0x0000000000000000
30 Windows.UI.Xaml.dll DirectUI::CoreWebViewHost::CreateComponent 0x0000000000000000
31 Windows.UI.Xaml.dll DirectUI::WebView::CreateComponent 0x0000000000000000
32 Windows.UI.Xaml.dll CWebView::CreateComponent 0x0000000000000000
33 Windows.UI.Xaml.dll CComponentHost::EnsureComponentCreated 0x0000000000000000
34 Windows.UI.Xaml.dll DirectUI::WebView::OnPropertyChanged2 0x0000000000000000
35 Windows.UI.Xaml.dll DirectUI::DependencyObject::NotifyPropertyChanged 0x0000000000000000
36 Windows.UI.Xaml.dll CDependencyObject::SetEffectiveValue 0x0000000000000000
37 Windows.UI.Xaml.dll CDependencyObject::UpdateEffectiveValue 0x0000000000000000
38 Windows.UI.Xaml.dll CDependencyObject::SetValue 0x0000000000000000
39 Windows.UI.Xaml.dll CUIElement::SetValue 0x0000000000000000
40 Windows.UI.Xaml.dll CFrameworkElement::SetValue 0x0000000000000000
41 Windows.UI.Xaml.dll CWebView::SetValue 0x0000000000000000
42 Windows.UI.Xaml.dll DependencyObject_SetValue 0x0000000000000000
43 Windows.UI.Xaml.dll DirectUI::DependencyObject::SetValueCore 0x0000000000000000
44 Windows.UI.Xaml.dll DirectUI::DependencyObject::SetValueByKnownIndex_double_ 0x0000000000000000
45 Microsoft.Advertising.dll Windows::UI::Xaml::FrameworkElement::Width::[Windows::UI::Xaml::IFrameworkElement]::set 0x0000000000000000
46 Microsoft.Advertising.dll Microsoft::Advertising::WinRT::UI::AdvertisingWebBrowser::OnSizeChanged 0x0000000000000000
47 Microsoft.Advertising.dll `Windows::UI::Xaml::RoutedEventHandler::RoutedEventHandler_Microsoft::Advertising::WinRT::UI::AdvertisingWebBrowser,void (__cdecl Microsoft::Advertising::WinRT::UI::AdvertisingWebBrowser::*) 0x0000000000000000
48 Microsoft.Advertising.dll Windows::UI::Xaml::SizeChangedEventHandler::[Windows::UI::Xaml::SizeChangedEventHandler::__abi_IDelegate]::__abi_Windows_UI_Xaml_SizeChangedEventHandler___abi_IDelegate____abi_Invoke 0x0000000000000000
49 Windows.UI.Xaml.dll DirectUI::CRoutedEventSourceBase_DirectUI::IUntypedEventSource,Windows::UI::Xaml::ISizeChangedEventHandler,IInspectable,Windows::UI::Xaml::ISizeChangedEventArgs_::Raise 0x0000000000000000
50 Windows.UI.Xaml.dll DirectUI::FrameworkElement::OnSizeChanged 0x0000000000000000
51 Windows.UI.Xaml.dll DirectUI::DXamlCore::RaiseEvent 0x0000000000000000
52 Windows.UI.Xaml.dll CLayoutManager::RaiseSizeChangedEvents 0x0000000000000000
53 Windows.UI.Xaml.dll CLayoutManager::UpdateLayout 0x0000000000000000
54 Windows.UI.Xaml.dll CCoreServices::NWDrawTree 0x0000000000000000
55 Windows.UI.Xaml.dll CXcpBrowserHost::OnTick 0x0000000000000000
56 Windows.UI.Xaml.dll CXcpDispatcher::Tick 0x0000000000000000
57 Windows.UI.Xaml.dll CXcpDispatcher::OnReentrancyProtectedWindowMessage 0x0000000000000000
58 Windows.UI.Xaml.dll CDeferredInvoke::DispatchQueuedMessage 0x0000000000000000
59 Windows.UI.Xaml.dll CXcpDispatcher::MessageTimerCallbackStatic 0x0000000000000000
60 CoreMessaging.dll Microsoft__CoreUI__Dispatch__TimeoutHandler$CallbackThunk 0x0000000000000000
61 CoreMessaging.dll Microsoft::CoreUI::Dispatch::TimeoutManager::Callback_OnDispatch 0x0000000000000000
62 CoreMessaging.dll Microsoft::CoreUI::Dispatch::EventLoop::Callback_RunCoreLoop 0x0000000000000000
63 CoreMessaging.dll Microsoft::CoreUI::Dispatch::UserAdapter::OnUserDispatch 0x0000000000000000
64 CoreMessaging.dll Microsoft::CoreUI::Dispatch::UserAdapter_DoWork 0x0000000000000000
65 CoreMessaging.dll Microsoft::CoreUI::Dispatch::UserAdapter_WindowProc 0x0000000000000000
66 user32.dll UserCallWinProcCheckWow 0x0000000000000000
67 user32.dll DispatchMessageWorker 0x0000000000000000
68 Windows.UI.dll Windows::UI::Core::CDispatcher::ProcessMessage 0x0000000000000000
69 Windows.UI.dll Windows::UI::Core::CDispatcher::WaitAndProcessMessagesInternal 0x0000000000000000
70 Windows.UI.dll Windows::UI::Core::CDispatcher::ProcessEvents 0x0000000000000000
71 Windows.UI.Xaml.dll CJupiterWindow::RunCoreWindowMessageLoop 0x0000000000000000
72 Windows.UI.Xaml.dll DirectUI::DXamlCore::RunMessageLoop 0x0000000000000000
73 twinapi.appcore.dll Windows::ApplicationModel::Core::CoreApplicationView::Run 0x0000000000000000
74 twinapi.appcore.dll _lambda_3c558768873f4b5b0b4a338b4722411c_::operator 0x0000000000000000
75 SHCore.dll _WrapperThreadProc 0x0000000000000000
76 kernel32.dll BaseThreadInitThunk 0x0000000000000000
77 ntdll.dll RtlUserThreadStart
Stack trace 2:
0 edgehtml.dll Tree::SHoldForceScriptingModeToken::SHoldForceScriptingModeToken 0x000000000000002C
1 edgehtml.dll CBase::FireEvent 0x000000000000008C
2 edgehtml.dll CWindow::Fire_onbeforeunload 0x000000000000004E
3 edgehtml.dll COmWindowProxy::Fire_onbeforeunload 0x000000000000016B
4 edgehtml.dll COmWindowProxy::ExecRefresh 0x00000000000002D4
5 edgehtml.dll GWndAsyncTask::Run 0x000000000000001B
6 edgehtml.dll HTML5TaskScheduler::RunReadiedTask 0x0000000000000208
7 edgehtml.dll HTML5TaskScheduler::RunReadiedTasks 0x00000000000000E3
8 edgehtml.dll NormalPriorityAtInputEventLoopDriver::DriveRegularPriorityTaskExecution 0x00000000000000A9
9 edgehtml.dll GlobalWndProc 0x0000000000000162
10 user32.dll UserCallWinProcCheckWow 0x00000000000002AD
11 user32.dll DispatchMessageWorker 0x000000000000019F
12 Windows.UI.dll Windows::UI::Core::CDispatcher::ProcessMessage 0x00000000000000FE
13 Windows.UI.dll Windows::UI::Core::CDispatcher::WaitAndProcessMessagesInternal 0x00000000000000AE
14 Windows.UI.dll Windows::UI::Core::CDispatcher::ProcessEvents 0x000000000000007B
15 Windows.UI.Xaml.dll CJupiterWindow::RunCoreWindowMessageLoop 0x000000000000004C
16 Windows.UI.Xaml.dll DirectUI::DXamlCore::RunMessageLoop 0x000000000000004C
17 twinapi.appcore.dll Windows::ApplicationModel::Core::CoreApplicationView::Run 0x000000000000003A
18 twinapi.appcore.dll _lambda_3c558768873f4b5b0b4a338b4722411c_::operator 0x00000000000000C4
19 SHCore.dll _WrapperThreadProc 0x00000000000000F5
20 kernel32.dll BaseThreadInitThunk 0x0000000000000014
21 ntdll.dll RtlUserThreadStart 0x0000000000000021
Has anyone experience anything like this?
Related
I have a small doubt in ifelse confition. I've read numerous articles and tried different solutions but I'm not able to solve it. Please help me with it.
I have a column of numbers ranging from 0:59 and it recurs like this for 500 rows.
I am trying to create another column which divides 0:29 as 0 and 30:59 as 30.
Data:
> data$Minute
[1] 0 0 0 1 1 1 2 2 2 2 2 2 3 3 4 4 4 5 5 5 5 5 6 6 6 7 7 7 7 7 8 8 8 8 8 8 9
[38] 10 10 10 10 10 10 10 10 10 11 11 11 11 11 11 11 11 11 11 12 12 12 12 13 13 13 13 13 14 14 14 14 14 14 15 15 15
[75] 15 15 15 15 15 15 16 16 16 16 16 17 17 18 18 18 18 18 19 19 19 19 20 20 20 20 20 20 20 20 21 21 21 21 21 21 21
[112] 22 22 22 22 22 23 23 23 23 23 23 23 23 23 23 23 23 23 23 24 24 24 24 24 24 24 24 24 25 25 25 25 25 25 25 25 25
[149] 26 26 26 26 26 26 26 26 26 26 27 27 27 27 27 27 27 27 27 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 28 29
[186] 29 29 29 29 29 29 29 29 29 29 29 30 30 30 30 30 30 30 30 30 30 30 30 30 31 31 31 31 31 31 31 31 31 31 31 31 31
[223] 31 32 32 32 32 32 33 33 33 33 33 33 33 33 33 33 33 34 34 34 34 34 34 34 34 34 34 34 34 34 35 35 35 35 35 35 35
[260] 35 35 35 36 36 36 36 36 36 36 36 37 37 37 37 37 37 37 37 37 38 38 38 38 38 38 38 38 38 38 39 39 39 39 39 39 39
[297] 39 39 40 40 40 40 40 40 40 40 40 40 40 40 41 41 41 41 41 41 41 41 41 41 41 41 41 41 41 41 42 42 42 42 42 42 42
[334] 42 42 42 42 43 43 43 43 43 43 43 43 43 43 43 43 43 43 43 43 44 44 44 44 44 44 44 44 44 45 45 45 45 45 45 45 45
[371] 45 45 45 45 45 45 45 45 46 46 46 46 46 46 46 47 47 47 47 47 47 47 47 47 47 47 47 47 48 48 48 48 48 48 48 48 48
[408] 48 48 48 49 49 49 49 49 49 49 50 50 50 50 50 50 50 50 50 50 50 50 50 50 51 51 51 51 51 51 51 51 51 51 52 52 52
[445] 52 52 52 52 52 52 52 52 52 53 53 53 53 53 53 53 53 54 54 54 54 54 54 54 54 54 54 54 55 55 55 55 55 55 55 55 55
[482] 55 56 56 56 56 56 56 56 56 56 56 56 56 56 57 57 57 57 57 57 57 57 58 58 58 58 58 58 58 58 58 59 59 59 59 59 59
[519] 59 59 59 59 59 59 59 0 0 0 0
Code:
data<- data %>% mutate(Period = ifelse(((Minute >=0) && (Minute <= 30)),0, 30) )
While running this code, I am only getting Period value as 0 for all the data points. Can you please help me with this small issue?
Thanks in Advance!
Try this
data %>% mutate(Period = ifelse(minute <= 30, 0, 30))
I'm trying to import an anova data set csv file into R using the read.csv function. When I import it the columns are labelled X........ Even though the csv file the column labels are clearly person, gender etc
I don't know why this is. I've copied the code below. Any help would be appreciated
read.csv("/Users/Desktop/R /anova data set.csv")
X.......
1 ;Person;gender;Age;Height;pre.weight;Diet;weight6weeks
2 ;25; ;41;171;60;2;60
3 ;26; ;32;174;103;2;103
4 ;1;0;22;159;58;1;54.2
5 ;2;0;46;192;60;1;54
6 ;3;0;55;170;64;1;63.3
7 ;4;0;33;171;64;1;61.1
8 ;5;0;50;170;65;1;62.2
9 ;6;0;50;201;66;1;64
10 ;7;0;37;174;67;1;65
11 ;8;0;28;176;69;1;60.5
12 ;9;0;28;165;70;1;68.1
13 ;10;0;45;165;70;1;66.9
14 ;11;0;60;173;72;1;70.5
15 ;12;0;48;156;72;1;69
16 ;13;0;41;163;72;1;68.4
17 ;14;0;37;167;82;1;81.1
18 ;27;0;44;174;58;2;60.1
19 ;28;0;37;172;58;2;56
20 ;29;0;41;165;59;2;57.3
21 ;30;0;43;171;61;2;56.7
22 ;31;0;20;169;62;2;55
23 ;32;0;51;174;63;2;62.4
24 ;33;0;31;163;63;2;60.3
25 ;34;0;54;173;63;2;59.4
26 ;35;0;50;166;65;2;62
27 ;36;0;48;163;66;2;64
28 ;37;0;16;165;68;2;63.8
29 ;38;0;37;167;68;2;63.3
30 ;39;0;30;161;76;2;72.7
31 ;40;0;29;169;77;2;77.5
32 ;52;0;51;165;60;3;53
33 ;53;0;35;169;62;3;56.4
34 ;54;0;21;159;64;3;60.6
35 ;55;0;22;169;65;3;58.2
36 ;56;0;36;160;66;3;58.2
37 ;57;0;20;169;67;3;61.6
38 ;58;0;35;163;67;3;60.2
39 ;59;0;45;155;69;3;61.8
40 ;60;0;58;141;70;3;63
41 ;61;0;37;170;70;3;62.7
42 ;62;0;31;170;72;3;71.1
43 ;63;0;35;171;72;3;64.4
44 ;64;0;56;171;73;3;68.9
45 ;65;0;48;153;75;3;68.7
46 ;66;0;41;157;76;3;71
47 ;15;1;39;168;71;1;71.6
48 ;16;1;31;158;72;1;70.9
49 ;17;1;40;173;74;1;69.5
50 ;18;1;50;160;78;1;73.9
51 ;19;1;43;162;80;1;71
52 ;20;1;25;165;80;1;77.6
53 ;21;1;52;177;83;1;79.1
54 ;22;1;42;166;85;1;81.5
55 ;23;1;39;166;87;1;81.9
56 ;24;1;40;190;88;1;84.5
57 ;41;1;51;191;71;2;66.8
58 ;42;1;38;199;75;2;72.6
59 ;43;1;54;196;75;2;69.2
60 ;44;1;33;190;76;2;72.5
61 ;45;1;45;160;78;2;72.7
62 ;46;1;37;194;78;2;76.3
63 ;47;1;44;163;79;2;73.6
64 ;48;1;40;171;79;2;72.9
65 ;49;1;37;198;79;2;71.1
66 ;50;1;39;180;80;2;81.4
67 ;51;1;31;182;80;2;75.7
68 ;67;1;36;155;71;3;68.5
69 ;68;1;47;179;73;3;72.1
70 ;69;1;29;166;76;3;72.5
71 ;70;1;37;173;78;3;77.5
72 ;71;1;31;177;78;3;75.2
73 ;72;1;26;179;78;3;69.4
74 ;73;1;40;179;79;3;74.5
75 ;74;1;35;183;83;3;80.2
76 ;75;1;49;177;84;3;79.9
77 ;76;1;28;164;85;3;79.7
78 ;77;1;40;167;87;3;77.8
79 ;78;1;51;175;88;3;81.9
colnames(aov)
[1] "X......."
I'm new to Julia and I could not find any useful information on the following: I would like to create an array of given dimensions and fill it with a given sequence.
m,n = 10,10 # dimensions
i = 1:100 # sequence
I've tried to use collect, but this gives me a single column array. I have also tried it the Julia way
[? for i in 1:m, j in 1:n]
but I don't know what I could insert for ?.
The easiest way is reshape(i, m,n) (potentially together with a collect if you really need an Array{Int64,2}):
julia> reshape(i,m,n)
10×10 reshape(::UnitRange{Int64}, 10, 10) with eltype Int64:
1 11 21 31 41 51 61 71 81 91
2 12 22 32 42 52 62 72 82 92
3 13 23 33 43 53 63 73 83 93
4 14 24 34 44 54 64 74 84 94
5 15 25 35 45 55 65 75 85 95
6 16 26 36 46 56 66 76 86 96
7 17 27 37 47 57 67 77 87 97
8 18 28 38 48 58 68 78 88 98
9 19 29 39 49 59 69 79 89 99
10 20 30 40 50 60 70 80 90 100
julia> collect(ans)
10×10 Array{Int64,2}:
1 11 21 31 41 51 61 71 81 91
2 12 22 32 42 52 62 72 82 92
3 13 23 33 43 53 63 73 83 93
4 14 24 34 44 54 64 74 84 94
5 15 25 35 45 55 65 75 85 95
6 16 26 36 46 56 66 76 86 96
7 17 27 37 47 57 67 77 87 97
8 18 28 38 48 58 68 78 88 98
9 19 29 39 49 59 69 79 89 99
10 20 30 40 50 60 70 80 90 100
To answer your question what to put as ? in the array comprehension approach, you must convert the cartesian index to a linear index, for example like so:
julia> [i[LinearIndices((m,n))[p,q]] for p in 1:m, q in 1:n]
10×10 Array{Int64,2}:
1 11 21 31 41 51 61 71 81 91
2 12 22 32 42 52 62 72 82 92
3 13 23 33 43 53 63 73 83 93
4 14 24 34 44 54 64 74 84 94
5 15 25 35 45 55 65 75 85 95
6 16 26 36 46 56 66 76 86 96
7 17 27 37 47 57 67 77 87 97
8 18 28 38 48 58 68 78 88 98
9 19 29 39 49 59 69 79 89 99
10 20 30 40 50 60 70 80 90 100
Of course, you can also calculate the linear index yourself, [i[(q-1)*m + p] for p in 1:m, q in 1:n].
Alternatively, you can preallocate the array and fill it in a linear fashion:
julia> result = Matrix{Int64}(undef, m,n);
julia> result[:] .= i;
julia> result
10×10 Array{Int64,2}:
1 11 21 31 41 51 61 71 81 91
2 12 22 32 42 52 62 72 82 92
3 13 23 33 43 53 63 73 83 93
4 14 24 34 44 54 64 74 84 94
5 15 25 35 45 55 65 75 85 95
6 16 26 36 46 56 66 76 86 96
7 17 27 37 47 57 67 77 87 97
8 18 28 38 48 58 68 78 88 98
9 19 29 39 49 59 69 79 89 99
10 20 30 40 50 60 70 80 90 100
which is basically equivalent to the naive, explicit solution
julia> result = Matrix{Int64}(undef, m,n);
julia> for k in eachindex(i) result[k] = i[k] end
julia> result
10×10 Array{Int64,2}:
1 11 21 31 41 51 61 71 81 91
2 12 22 32 42 52 62 72 82 92
3 13 23 33 43 53 63 73 83 93
4 14 24 34 44 54 64 74 84 94
5 15 25 35 45 55 65 75 85 95
6 16 26 36 46 56 66 76 86 96
7 17 27 37 47 57 67 77 87 97
8 18 28 38 48 58 68 78 88 98
9 19 29 39 49 59 69 79 89 99
10 20 30 40 50 60 70 80 90 100
I'm trying to fit some count data for the number of fish purchased by anglers(grey in the image) with a distribution using optim in R. I've fit both a poisson (red) and negative binomial distribution (blue) but as you can see neither seems to be right. What should my next steps be for getting a better fit?
My graph:
#fit poisson curve to data using optim
minus.logL.s<-function(lambda, dat){
-sum(dpois(dat,lambda, log=TRUE))}
mle<-optim(par=45,fn=minus.logL.s, method="BFGS",hessian=T,dat=survey.responses.baitusers$fish.per.trip)
mle
#simulate data coming from a poisson distribution of mean 38
simspois<-as.data.frame(rpois(1000, 38))
colnames(simspois)<-("simulated_values")
#fit negative binomial curve
minus.logL.nb<-function(pars, dat){
mu<-pars[1]
size<-pars[2]
-sum(dnbinom(dat, mu=mu, size=size,log=TRUE))}
mlenb<-optim(par=c(mu=38,size=1),fn=minus.logL.nb, method="BFGS",hessian=T,dat=survey.responses.baitusers$fish.per.trip)
mlenb
simsnegbin<-as.data.frame(rnbinom(1000,size=4, mu=38))
colnames(simsnegbin)<-("simulated_valuesnb")
#graph both
graph<-ggplot(survey.responses.baitusers)+aes(fish.per.trip)+geom_histogram()+geom_smooth(data=simspois, aes(simulated_values), stat = "count",color="red")+geom_smooth(data=simsnegbin, aes(simulated_valuesnb), stat="count", color="blue")
graph
Output from negative binomial fitting:
$par
mu size
38.333338 4.107287
Output from poisson fitting:
$par
[1] 38.33333
My data:
> survey.responses.baitusers$fish.per.trip
[1] 15 34 42 38 8 38 21 29 58 29 40 35 33 51 50 40 8 45 44 45 34 57 8 28 63 54 22 44 65 54 54 15 12
[34] 42 59 40 43 95 80 15 54 19 44 27 53 95 21 38 40 13 25 27 79 38 85 40 33 74 34 77 34 34 33 35 89 34
[67] 34 37 16 60 17 21 18 37 34 27 30 62 48 35 55 50 23 32 56 34 11 21 34 48 15 34 26 54 8 95 8 58 54
[100] 44 34 47 35 13 21 53 52 52 40 40 33 8 15 15 25 41 63 34 38 87 14 68 58 59 34 55 24 24 35 33 21 8
[133] 8 15 51 48 8 21 39 29 50 54 62 16 54 33 58 22 49 40 30 51 21 19 51 40 34 27 40 45 80 69 8 42 33
[166] 62 40 82 17 14 30 61 45 70 33 33 16 49 32 34 31 31 18 64 33 39 21 56 40 52 71 34 30 27 54 8 64 16
[199] 54 127 13 51 40 33 63 31 30 63 56 57 77 46 64 22 34 50 66 33 34 59 45 16 21 60 58 15 64 29 40 44 29
[232] 8 21 16 72 34 49 57 34 34 15 33 54 40 32 33 95 107 49 64 59 64 37 70 45 16 16 40 19 53 34 39 21 36
[265] 34 17 8 34 51 13 20 34 21 38 36 36 41 34 83 27 8 45 29 34 21 37 44 15 50 25 27 8 27 19 24 40 8
[298] 28 36 24 40 21 70 20 34 21 46 16 20 8 33 34 54 44 77 80 15 34 40 29 48 59 29 8 15 47 45 21 41 23
[331] 34 51 14 40 25 45 64 59 107 21 59 27 56 48 34 45 59 35 30 37 32 8 51 11 48 64 32 8 52 14 20 18 8
[364] 53 52 53 33 34 48 62 34 34 8 46 39 21 33 34 40 49 52 19 24 29 43 19 29 27 46 52 29 51 61 16 17 35
[397] 34 40 25 28 34 42 66 35 49 35 51 66 21 51 45 14 53 22 42 64 8 48 28 66 52 40 29 34 34 41 59 34 52
[430] 16 32 20 35 8 8 21 49 40 33 16 24 8 42 23 63 26 21 33 8 23 112 57 8 46 18 67 34 30 33 40 43 57
[463] 60 33 14 27 44 21 31 30 27 49 57 69 66 22 28 55 11 43
I'm trying to read a simple csv file in R with this code:
data <- read.csv(file="\0Laplacian1Entropy.csv", header=TRUE, sep=" ")
But I always get this error:
> Error: embedded nul in string: '\0Laplacian1Entropy.csv'
This is my file:
i j Entropy
1 63 0.99908075437993904
1 64 0.99908075437993904
2 63 0.90122030232323391
2 64 0.92235382341992733
3 63 0.56791528442061989
3 64 0.67774259405167925
4 63 0.99908075437993904
4 64 0.96221996088169448
5 63 0.7960934421903898
5 64 0.71618862493713764
6 63 0.97911703542740458
6 64 0.46549718791094752
7 63 0.90122030232323391
7 64 0.73578113660861544
8 63 0.77573042572641582
8 64 0.77573042572641582
9 63 0.8586686413596436
9 64 0.90122030232323391
10 63 0.83758110743543879
10 64 0.67774259405167925
11 63 0.99908075437993904
11 64 0.8586686413596436
12 63 0.96221996088169448
12 64 0.67774259405167925
13 63 0.99908075437993904
13 64 0.8586686413596436
14 63 0.62183659568813598
14 64 0.56791528442061989
15 63 0.65887781135396584
15 64 0.8586686413596436
16 63 0.92235382341992733
16 64 0.92235382341992733
17 63 0.7960934421903898
17 64 0.92235382341992733
18 63 0.60364928357716474
18 64 0.90122030232323391
19 63 0.90122030232323391
19 64 0.83758110743543879
20 63 0.92235382341992733
20 64 0.71618862493713764
21 63 0.73578113660861544
21 64 0.96221996088169448
22 63 0.77573042572641582
22 64 0.96221996088169448
23 63 0.90122030232323391
23 64 0.97911703542740458
24 63 0.71618862493713764
24 64 0.8586686413596436
25 63 0.96221996088169448
25 64 0.99908075437993904
26 63 0.97911703542740458
26 64 0.7960934421903898
27 63 0.67774259405167925
27 64 0.71618862493713764
28 63 0.65887781135396584
28 64 0.67774259405167925
29 63 0.83758110743543879
29 64 0.90122030232323391
30 63 0.90122030232323391
30 64 0.77573042572641582
31 63 0.97911703542740458
31 64 0.73578113660861544
32 63 0.97911703542740458
32 64 0.99908075437993904
33 63 0.99908075437993904
33 64 0.8586686413596436
34 63 0.96221996088169448
34 64 0.92235382341992733
35 63 0.65887781135396584
35 64 0.96221996088169448
36 63 0.62183659568813598
36 64 0.62183659568813598
37 63 0.60364928357716474
37 64 0.97911703542740458
38 63 0.99908075437993904
38 64 0.90122030232323391
39 63 0.90122030232323391
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I'm wondering what is the problem.
This has nothing to do with your csv file. The error message states that you have embedded a nul char in the file name: \0 denotes ASCII byte == 0, which is forbidden in an R string (internally, it denotes the end of a string).
Perhaps you meant "\\0Laplacian1Entropy.csv" or "/0Laplacian1Entropy.csv". Anyway, if you wish to include a backslash in a string, you must escape it with... a backslash.
Remove de "\0" and let your command like this one:
data <- read.csv(file="Laplacian1Entropy.csv", header=TRUE, sep=" ")
head(data)