Free Statistics

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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationSat, 25 Sep 2010 09:09:15 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Sep/25/t1285405702bgdewsvmq7od3e6.htm/, Retrieved Thu, 25 Apr 2024 14:16:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=79531, Retrieved Thu, 25 Apr 2024 14:16:24 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact1169
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F       [Histogram] [Frequency Plot (C...] [2010-09-25 09:09:15] [d76b387543b13b5e3afd8ff9e5fdc89f] [Current]
-    D    [Histogram] [] [2010-09-28 18:13:17] [5bde1d72e0f93bf2556649a8170282e1]
-         [Histogram] [frequency plot] [2010-09-28 18:38:33] [5bde1d72e0f93bf2556649a8170282e1]
-    D    [Histogram] [Task 1 - Frequenc...] [2010-09-28 19:05:02] [97ad38b1c3b35a5feca8b85f7bc7b3ff]
-    D    [Histogram] [Frequency Plot] [2010-09-28 20:23:26] [c2a9e95daa10045f9fd6252038bcb219]
-         [Histogram] [task 1] [2010-09-29 12:53:56] [c4580079d5d2b3f0ba412f27cdc441be]
-    D    [Histogram] [Frequency Plot] [2010-09-29 17:35:30] [2960375a246cc0628590c95c4038a43c]
- RMPD    [Mean versus Median] [] [2010-09-30 08:10:25] [049b50ae610f671f7417ed8e2d1295c1]
-         [Histogram] [] [2010-09-30 08:44:14] [049b50ae610f671f7417ed8e2d1295c1]
-    D    [Histogram] [workshop 1 - task 1] [2010-09-30 11:53:14] [ec7b4b7cc1a30b20be5ec01cdf2adbbd]
-    D    [Histogram] [] [2010-09-30 12:00:50] [ec7b4b7cc1a30b20be5ec01cdf2adbbd]
F           [Histogram] [frequency plot] [2010-10-04 17:45:18] [ec7b4b7cc1a30b20be5ec01cdf2adbbd]
-    D    [Histogram] [] [2010-09-30 12:43:11] [049b50ae610f671f7417ed8e2d1295c1]
-    D    [Histogram] [Workshop 1 - Task 1] [2010-09-30 13:31:46] [26379b86c25fbf0febe6a7a428e65173]
F    D    [Histogram] [Frequency Plot - ...] [2010-10-01 08:23:40] [4a7069087cf9e0eda253aeed7d8c30d6]
-    D    [Histogram] [opdracht 1] [2010-10-01 08:38:29] [814f53995537cd15c528d8efbf1cf544]
- R  D      [Histogram] [] [2014-10-02 13:54:22] [74be16979710d4c4e7c6647856088456]
- RM        [Histogram] [] [2014-10-02 13:55:24] [74be16979710d4c4e7c6647856088456]
- RM        [Histogram] [] [2014-10-02 14:05:31] [74be16979710d4c4e7c6647856088456]
F    D    [Histogram] [Frequency Plot OS] [2010-10-01 08:33:14] [c7506ced21a6c0dca45d37c8a93c80e0]
- R       [Histogram] [Task 1: Frequency...] [2010-10-01 08:42:21] [48146708a479232c43a8f6e52fbf83b4]
-    D    [Histogram] [Frequency plot oe...] [2010-10-01 08:41:21] [033eb2749a430605d9b2be7c4aac4a0c]
F    D      [Histogram] [Oefening 1:Freque...] [2010-10-02 17:06:08] [033eb2749a430605d9b2be7c4aac4a0c]
F    D    [Histogram] [Task 1: Frequency...] [2010-10-01 09:07:55] [48146708a479232c43a8f6e52fbf83b4]
F         [Histogram] [Frequency plot] [2010-10-01 09:07:55] [13c73ac943380855a1c72833078e44d2]
-         [Histogram] [Frequency Plot Op...] [2010-10-01 09:30:07] [aeb27d5c05332f2e597ad139ee63fbe4]
F    D    [Histogram] [Frequency Plot Op...] [2010-10-01 09:45:19] [8d9f18e662152c17fca28c551e1f193f]
-         [Histogram] [Frequency Plot] [2010-10-01 10:01:21] [74be16979710d4c4e7c6647856088456]
F    D    [Histogram] [Task 1 - Frequenc...] [2010-10-01 10:37:37] [97ad38b1c3b35a5feca8b85f7bc7b3ff]
- RMPD      [Stem-and-leaf Plot] [Stem-and Leaf Plot] [2011-12-09 13:29:51] [3deae35ae8526e36953f595ad65f3a1f]
- R PD      [Histogram] [Histogram] [2011-12-09 13:33:00] [3deae35ae8526e36953f595ad65f3a1f]
- RMPD      [Central Tendency] [Central Tendency] [2011-12-09 13:33:45] [3deae35ae8526e36953f595ad65f3a1f]
- RMPD      [Variability] [Variability] [2011-12-09 13:34:36] [3deae35ae8526e36953f595ad65f3a1f]
- RMPD      [Percentiles] [Percentiles] [2011-12-09 13:35:24] [3deae35ae8526e36953f595ad65f3a1f]
- RMPD      [Notched Boxplots] [Notched Boxplots] [2011-12-09 13:37:40] [3deae35ae8526e36953f595ad65f3a1f]
- RMPD      [Mean versus Median] [Mean vs Median] [2011-12-09 13:42:21] [3deae35ae8526e36953f595ad65f3a1f]
-    D    [Histogram] [Frequency Plot (B...] [2010-10-01 10:56:58] [62f7c80c4d96454bbd2b2b026ea9aad9]
-    D    [Histogram] [Frequency Plot Op...] [2010-10-01 11:48:32] [aeb27d5c05332f2e597ad139ee63fbe4]
-         [Histogram] [Frequency plot fo...] [2010-10-01 11:55:13] [9894f466352df31a128e82ec8d720241]
-    D    [Histogram] [] [2010-10-01 12:06:16] [9894f466352df31a128e82ec8d720241]
- R PD    [Histogram] [frequency plot] [2010-10-01 12:07:36] [0175b38674e1402e67841c9c82e4a5a3]
F         [Histogram] [Task 1] [2010-10-01 12:05:58] [c289bfbb56808c5d93a0f55b5d39f5bd]
-         [Histogram] [Task 1] [2010-10-01 12:07:00] [9f32078fdcdc094ca748857d5ebdb3de]
-    D    [Histogram] [Frequency plot fo...] [2010-10-01 12:14:09] [9894f466352df31a128e82ec8d720241]
F    D    [Histogram] [Frequency plot fo...] [2010-10-01 12:14:09] [9894f466352df31a128e82ec8d720241]
F         [Histogram] [Task 1] [2010-10-01 12:07:44] [39c51da0be01189e8a44eb69e891b7a1]
- RMPD      [Stem-and-leaf Plot] [Stem and leaf plot] [2010-12-10 09:40:59] [39c51da0be01189e8a44eb69e891b7a1]
- R PD      [Histogram] [Histogram] [2010-12-10 10:18:40] [39c51da0be01189e8a44eb69e891b7a1]
- R  D        [Histogram] [Histogram] [2010-12-10 10:31:17] [39c51da0be01189e8a44eb69e891b7a1]

[Truncated]
Feedback Forum
2010-10-06 11:51:07 [] [reply
Dit is een test

Post a new message
Dataseries X:
'Firefox'
'MSIE'
'MSIE'
'MSIE'
'MSIE'
'Firefox'
'Firefox'
'MSIE'
'Chrome'
'Firefox'
'Firefox'
'MSIE'
'MSIE'
'MSIE'
'MSIE'
'MSIE'
'Firefox'
'MSIE'
'Firefox'
'Firefox'
'MSIE'
'Firefox'
'Firefox'
'MSIE'
'MSIE'
'Firefox'
'Firefox'
'Safari'
'MSIE'
'Firefox'
'MSIE'
'MSIE'
'MSIE'
'Firefox'
'MSIE'
'MSIE'
'Firefox'
'MSIE'
'MSIE'
'MSIE'
'Firefox'
'MSIE'
'MSIE'
'Firefox'
'Opera'
'Firefox'
'MSIE'
'MSIE'
'MSIE'
'Firefox'
'Firefox'
'Safari'
'Firefox'
'Firefox'
'MSIE'
'MSIE'
'MSIE'
'Firefox'
'Safari'
'MSIE'
'MSIE'
'MSIE'
'MSIE'
'Firefox'
'MSIE'
'Chrome'
'MSIE'
'Firefox'
'Safari'
'Safari'
'Firefox'
'MSIE'
'MSIE'
'Firefox'
'MSIE'
'MSIE'
'MSIE'
'MSIE'
'Firefox'
'MSIE'
'MSIE'
'MSIE'
'MSIE'
'Firefox'
'MSIE'
'Firefox'
'Safari'
'Firefox'
'MSIE'
'MSIE'
'MSIE'
'MSIE'
'MSIE'
'MSIE'
'MSIE'
'Safari'
'Firefox'
'MSIE'
'Firefox'
'MSIE'
'MSIE'
'MSIE'
'MSIE'
'MSIE'
'Firefox'
'MSIE'
'Firefox'
'MSIE'
'MSIE'
'MSIE'
'Firefox'
'MSIE'
'MSIE'
'MSIE'
'Safari'
'MSIE'
'Firefox'
'Firefox'
'MSIE'
'Safari'
'Safari'
'Firefox'
'MSIE'
'MSIE'
'MSIE'
'MSIE'
'Chrome'
'MSIE'
'Firefox'
'MSIE'
'MSIE'
'MSIE'
'MSIE'
'Firefox'
'Safari'
'MSIE'
'MSIE'
'MSIE'
'MSIE'




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=79531&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=79531&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=79531&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Frequency Table (Categorical Data)
CategoryAbs. FrequencyRel. Frequency
Chrome30.0216
Firefox410.295
MSIE830.5971
Opera10.0072
Safari110.0791

\begin{tabular}{lllllllll}
\hline
Frequency Table (Categorical Data) \tabularnewline
Category & Abs. Frequency & Rel. Frequency \tabularnewline
Chrome & 3 & 0.0216 \tabularnewline
Firefox & 41 & 0.295 \tabularnewline
MSIE & 83 & 0.5971 \tabularnewline
Opera & 1 & 0.0072 \tabularnewline
Safari & 11 & 0.0791 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=79531&T=1

[TABLE]
[ROW][C]Frequency Table (Categorical Data)[/C][/ROW]
[ROW][C]Category[/C][C]Abs. Frequency[/C][C]Rel. Frequency[/C][/ROW]
[ROW][C]Chrome[/C][C]3[/C][C]0.0216[/C][/ROW]
[ROW][C]Firefox[/C][C]41[/C][C]0.295[/C][/ROW]
[ROW][C]MSIE[/C][C]83[/C][C]0.5971[/C][/ROW]
[ROW][C]Opera[/C][C]1[/C][C]0.0072[/C][/ROW]
[ROW][C]Safari[/C][C]11[/C][C]0.0791[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=79531&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=79531&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Frequency Table (Categorical Data)
CategoryAbs. FrequencyRel. Frequency
Chrome30.0216
Firefox410.295
MSIE830.5971
Opera10.0072
Safari110.0791



Parameters (Session):
par2 = blue ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = ; par2 = blue ; par3 = FALSE ; par4 = Unknown ;
R code (references can be found in the software module):
par1 <- as.numeric(par1)
if (par3 == 'TRUE') par3 <- TRUE
if (par3 == 'FALSE') par3 <- FALSE
if (par4 == 'Unknown') par1 <- as.numeric(par1)
if (par4 == 'Interval/Ratio') par1 <- as.numeric(par1)
if (par4 == '3-point Likert') par1 <- c(1:3 - 0.5, 3.5)
if (par4 == '4-point Likert') par1 <- c(1:4 - 0.5, 4.5)
if (par4 == '5-point Likert') par1 <- c(1:5 - 0.5, 5.5)
if (par4 == '6-point Likert') par1 <- c(1:6 - 0.5, 6.5)
if (par4 == '7-point Likert') par1 <- c(1:7 - 0.5, 7.5)
if (par4 == '8-point Likert') par1 <- c(1:8 - 0.5, 8.5)
if (par4 == '9-point Likert') par1 <- c(1:9 - 0.5, 9.5)
if (par4 == '10-point Likert') par1 <- c(1:10 - 0.5, 10.5)
bitmap(file='test1.png')
if(is.numeric(x[1])) {
if (is.na(par1)) {
myhist<-hist(x,col=par2,main=main,xlab=xlab,right=par3)
} else {
if (par1 < 0) par1 <- 3
if (par1 > 50) par1 <- 50
myhist<-hist(x,breaks=par1,col=par2,main=main,xlab=xlab,right=par3)
}
} else {
plot(mytab <- table(x),col=par2,main='Frequency Plot',xlab=xlab,ylab='Absolute Frequency')
}
dev.off()
if(is.numeric(x[1])) {
myhist
n <- length(x)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('histogram.htm','Frequency Table (Histogram)',''),6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Bins',header=TRUE)
a<-table.element(a,'Midpoint',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.element(a,'Cumul. Rel. Freq.',header=TRUE)
a<-table.element(a,'Density',header=TRUE)
a<-table.row.end(a)
crf <- 0
if (par3 == FALSE) mybracket <- '[' else mybracket <- ']'
mynumrows <- (length(myhist$breaks)-1)
for (i in 1:mynumrows) {
a<-table.row.start(a)
if (i == 1)
dum <- paste('[',myhist$breaks[i],sep='')
else
dum <- paste(mybracket,myhist$breaks[i],sep='')
dum <- paste(dum,myhist$breaks[i+1],sep=',')
if (i==mynumrows)
dum <- paste(dum,']',sep='')
else
dum <- paste(dum,mybracket,sep='')
a<-table.element(a,dum,header=TRUE)
a<-table.element(a,myhist$mids[i])
a<-table.element(a,myhist$counts[i])
rf <- myhist$counts[i]/n
crf <- crf + rf
a<-table.element(a,round(rf,6))
a<-table.element(a,round(crf,6))
a<-table.element(a,round(myhist$density[i],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
} else {
mytab
reltab <- mytab / sum(mytab)
n <- length(mytab)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Frequency Table (Categorical Data)',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Category',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,labels(mytab)$x[i],header=TRUE)
a<-table.element(a,mytab[i])
a<-table.element(a,round(reltab[i],4))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
}